WordNet & Dialog Systems 2016


Notes:

WordNet is a lexical database for the English language, which groups English words into sets of synonyms called synsets, provides short definitions and usage examples, and records a number of relations among these synonym sets or their members.

  • Knowledge hunting module

Resources:

  • babelnet.org .. a very large multilingual encyclopedic dictionary and semantic network
  • cicling.org .. conference on intelligent text processing and computational linguistics
  • fungramkb.com .. a multipurpose lexico-conceptual knowledge base for nlp systems
  • halef.org .. collection of open-source tools combined together to build a framework for a spoken dialog system
  • modis.ispras.ru/texterra .. novel text processing methods that exploit semantics extracted from Wikipedia
  • tsdconference.org .. international conference on text, speech and dialogue
  • virtualstoryteller.info .. sophisticated multi-agent story generation system

Wikipedia:

See also:

100 Best GitHub: WordNet | 100 Best WordNet Videos | AIML & WordNet | FrameNetFrameNet & Dialog Systems |


How NOT to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
CW Liu, R Lowe, IV Serban, M Noseworthy… – arXiv preprint arXiv …, 2016 – arxiv.org
… 2To the best of our knowledge, only BLEU has been eval- uated in the dialogue system setting quantitatively by Galley et al. … The alignment is based on exact token matching, followed by WordNet synonyms, stemmed tokens, and then paraphrases. …

Counter-fitting word vectors to linguistic constraints
N Mrkši?, DO Séaghdha, B Thomson, M Gaši?… – arXiv preprint arXiv …, 2016 – arxiv.org
… As far as we are aware, there is no previous work on exploiting antonymy in dialogue systems. The modelling work closest to ours are Liu et al. (2015), who use antonymy and WordNet hierarchy information to modify the heavyweight Word2Vec training objective; Yih et al. …

Towards a dialogue system that supports rich visualizations of data
A Kumar, J Aurisano, B Di Eugenio, A Johnson… – Proceedings of the 17th …, 2016 – aclweb.org
… Towards a Dialogue System that Supports Rich Visualizations of Data … ClearNLP (Choi, 2014) is used to obtain Prop- Bank (Palmer et al., 2005) semantic role labels (SRLs), which are then mapped to Verbnet (Kip- per et al., 2008) and Wordnet using SemLink (Palmer, 2009). …

Desiderata for the design of companion systems
D Rösner, M Haase, T Bauer, S Günther, J Krüger… – KI-Künstliche …, 2016 – Springer
… They had to simulate the following major components of a spoken dialog system (SDS [14]): automated speech recognition (ASR), natural language understanding (NLU), dialog … For this purpose resources like WordNet [3] might be integrated with domain knowledge bases. …

Large-scale acquisition of commonsense knowledge via a quiz game on a dialogue system
N Otani, D Kawahara, S Kurohashi, N Kaji… – OKBQA …, 2016 – pdfs.semanticscholar.org
… 1. We collected large-scale, high quality knowledge from a quiz game on a dialogue system that has many users. … large-scale knowledge bases include Freebase (Bollacker et al., 2008), which was constructed from Wikipedia’s texts and existing resources such as WordNet. …

Dialogue State Tracking using Long Short Term Memory Neural Networks
K Yoshino, T Hiraoka, G Neubig, S Nakamura – 2016 – colips.org
… The Fourth Dialog State Tracking Challenge. In Proceedings of the 7th International Workshop on Spoken Dialogue Systems (IWSDS), 2016. 6. Quoc V Le and Tomas Mikolov. … 8. George A Miller. Wordnet: a lexical database for english. …

Chatbot Technology with Synthetic Voices in the Acquisition of an Endangered Language: Motivation, Development and Evaluation of a Platform for Irish.
NN Chiaráin, AN Chasaide – LREC, 2016 – pdfs.semanticscholar.org
… 2005), a morphological analyser (Uí Dhonnchadha et al., 2003), a part-of-speech tagger (Uí Dhonnchadha and van Genabith, 2006), a chunker (Uí Dhonnchadha and van Genabith, 2010) as well as WordNet for Irish (O … This will enable end-to-end spoken dialogue systems. …

Entrainment in pedestrian direction giving: How many kinds of entrainment?
Z Hu, G Halberg, CR Jimenez, MA Walker – Situated Dialog in Speech …, 2016 – Springer
… 14. Fellbaum C (1998) WordNet: an electronic lexical database. MIT Press. 15. … Parent G, Eskenazi M (2010) Lexical entrainment of real users in the lets go spoken dialog system. In: Proceedings interspeech, pp 3018–3021. 29. …

JUNITMZ at SemEval-2016 Task 1: Identifying Semantic Similarity Using Levenshtein Ratio.
S Sarkar, D Das, P Pakray, AF Gelbukh – SemEval@ NAACL-HLT, 2016 – aclweb.org
… ilarity are useful to a broad range of applica- tions including: text mining, information re- trieval, dialogue systems, machine translation … to matching identical words with each other, METEOR also supports matching words based on synonymy relationships in WordNet, entries in a …

Towards an ontology-driven adaptive dialogue framework
G Meditskos, S Dasiopoulou, L Pragst, S Ultes… – Proceedings of the 1st …, 2016 – dl.acm.org
… 1. INTRODUCTION A key prerequisite in dialogue systems is to afford effec- tive strategies for tailoring system behaviour to user actions … to the synonym-enhanced triples stored in the lexicon generated from a knowledge base and expanded with WordNet synonyms, generating …

A novel density-based clustering method using word embedding features for dialogue intention recognition
J Jang, Y Lee, S Lee, D Shin, D Kim, H Rim – Cluster Computing, 2016 – Springer
… For example, if a user says, “I am very bored and tired,” a dialogue system that can recognize the user’s emotional state might provide exciting … Another way of considering word similarity for dialogue intention recognition is to use a predefined synonym set, such as WordNet. …

Predicting humor response in dialogues from TV sitcoms
D Bertero, P Fung – Acoustics, Speech and Signal Processing …, 2016 – ieeexplore.ieee.org
… We used the model introduced in [20], trained with the default corpus consisting of WordNet sense definitions, Wikitionary definitions and examples … In future work we plan to integrate humor generation and response prediction into a dialog system with the objective for a more …

Ellipsis and Coreference Resolution in a Computerized Virtual Patient Dialogue System
CJ Lin, CW Pao, YH Chen, CT Liu, HH Hsu – Journal of medical systems, 2016 – Springer
… EllipsisCoreference resolutionPronominal anaphoraDialogue systemComputerized virtual patient. … a Chinese medical dictionary like MedlinePlus 1 in English, we created this diagnosis-related concept dictionary as follows, where two important thesauri, Chinese WordNet 2 [24 …

Designing Interactive Experiences to Explore Artwork Collections: a Multimedia Dialogue System Supporting Visits in Museum Exhibits.
A Origlia, E Leone, A Sorgente, P Vanacore… – AI* CH@ AI* IA, 2016 – ceur-ws.org
… References 1. Baggia, P., Cutugno, F., Danieli, M., Pieraccini, R., Quarteroni, S., Riccardi, G., Roberti, P.: The multi-site 2009 evalita spoken dialog system evaluation. In: Proc. of EVALITA. … In: Proc. 1st Intl Conference on Global WordNet. (2002) 11. …

Automatic Motion Selection Method for Spoken Dialog Scenario Editor
M Suzuki, K Kawashima – Procedia Computer Science, 2016 – Elsevier
… Keywords. Automatic motion estimation; Spoken dialog system; Scenario editor. References. [1]; W. Rogers; … [4]; F. Bond, H. Isahara, S. Fujita, K. Uchimoto, T. Kuribayashi, K. Kanzaki; Enhancing the Japanese WordNet. In: Proc. …

Adapting Spoken Dialog Systems Towards Domains and Users
M Sun – 2016 – lti.cs.cmu.edu
Page 1. Adapting Spoken Dialog Systems Towards Domains and Users Ming Sun CMU-LTI-16-006 … c 2016 , Ming Sun Page 2. Keywords: Lexicon learning, cloud speech recognition adaptation, high-level intention un- derstanding, spoken dialog systems Page 3. Abstract …

A Novel Model for QUestion Answering Railway System: QUARS
L Sharma, V Dhir, K Kaur – Indian Journal of Science and Technology, 2016 – 52.172.159.94
… Journal of Compu- tational Linguistics. 1988; 14(4):35–84. 9. Sravanthi MC, Prathyusha K ,Mamidi R. A dialogue system for telugu, a resource-poor language. … 12. Puri R, Bedi RPS, Goyal V. Punjabi stemmer using punjabi wordnet database. …

Neural Belief Tracker: Data-Driven Dialogue State Tracking using Semantically Specialised Vector Spaces
N Mrkšic, DÓ Séaghdha, TH Wen, B Thomson… – 2016 – mi.eng.cam.ac.uk
… 2 Generalisation to unseen slot values (or even entirely new slots) 3 Bootstrapping dialogue systems to new domains with limited data … PPDB 2.0 and WordNet yield 12802 antonym and 31828 synonym pairs. Word east expensive British Before …

Ontology-driven context interpretation and conflict resolution for dialogue-based home care assistance
G Meditskos, E Kontopoulos, S Vrochidis… – Paschke A, Burger Al …, 2016 – repositori.upf.edu
… Spoken dialogue systems aim to assist end users in satisfying their information needs, hiding the complexity of knowledge representation and … In the domain of natural language interfaces and dialogue-based systems, ontologies such as WordNet and BabelNet, provide the …

Continuously Improving Natural Language Understanding for Robotic Systems through Semantic Parsing, Dialog, and Multi-modal Perception
J Thomason – 2016 – pdfs.semanticscholar.org
… underlying meaning. A sense inventory for words, such as WordNet (Fellbaum [1998]), structures word meaning into senses which can be taken on by one or more words. Words that refer to the same sense are called synonymous. A …

Dialog in NLP applica ons
V MILJANIC – courses.washington.edu
… (2006) Responding to Student Uncertainty in Spoken Tutorial Dialogue Systems. International Journal of Artificial Intelligence in Education 16:171-194. … Would a simple wordnet like capability have helped overcome those issues? Maybe they do mention obscure synonyms. …

Building an Ontology for Health Dialogs with Virtual Health Agents
G Chauhan – 2016 – digitalcommons.fiu.edu
… In addition, I will be using a word stemmer, for example WordNet, in order to have access to synonyms of words facilitating me not only in paraphrasing as a form of reflection … A reusable framework for health counseling dialogue systems based on a behavioral medicine ontology …

Comparison of QUARS with Various Question Answering System
L Sharma, V Dhir – Journal of Network Communications and Emerging …, 2016 – jncet.org
… 486-97. [10] Sravanthi MC, Prathyusha K ,Mamidi R. A Dialogue System for Telugu, a Resource-Poor Language. … Indian Journal of Science and Technology, 2015, 8(27), pp. 1- 8. [13] Puri R, Bedi RPS, Goyal V. Punjabi Stemmer Using Punjabi WordNet Database Punjabi. …

Faking Intelligent CALL: the Irish context and the road ahead
NN Chiaráin, AN Chasaide – Proceedings of the joint workshop on NLP …, 2016 – aclweb.org
… dialogue systems, which can still have impact in the teaching/learning context. … A recently developed resource is the semantic WordNet for Irish (O’Regan, Scannell, & Uí Dhonnchadha, 2016) which classifies lexical units into categories, eg profession or nationality. …

Application of a Hybrid Relation Extraction Framework for Intelligent Natural Language Processing
L Goel, R Khandelwal, E Retamino, S Nair… – … Symposium on Intelligent …, 2016 – Springer
… 808 L. Goel Page 7. WordNet for ”see” which is the predicate occurring after John in the sentence]. … Recent approaches to di- alog management for spoken dialog systems. Journal of Computing Science and Engineering, 4(1), 1-22. 14. …

Faking Intelligent CALL: the Irish context and the road ahead
N N&iactue, AN Chasaide – Proceedings of the joint workshop on NLP …, 2016 – ep.liu.se
… dialogue systems, which can still have impact in the teaching/learning context. … A recently developed resource is the semantic WordNet for Irish (O’Regan, Scannell, & Uí Dhonnchadha, 2016) which classifies lexical units into categories, eg profession or nationality. …

The LIEBOT Project
O Bendel, K Schwegler, B Richards – E-Proceedings, 2016 – maschinenethik.net
… 3: Excerpt from WordNet Originally, only one hypernym was determined and then one of its remaining hyponyms randomly selected. … for itself–and we can use the findings to discover ways to detect bad machines, and to uncover untruths told by natural language dialog systems. …

Neural Network Approaches to Dialog Response Retrieval and Generation
L Nio, S Sakti, G Neubig, K Yoshino… – … on Information and …, 2016 – search.ieice.org
… that are incomprehensible to the user [9]. There have been a number of works on response gener- ation for data-driven dialog systems. … a strong semantic relationship between each dialog turn in the dialog-pair data, by computing the similarity between WordNet † synsets in …

Automatic Corpus Extension for Data-driven Natural Language Generation.
E Manishina, B Jabaian, S Huet, F Lefèvre – LREC, 2016 – lrec-conf.org
… Each selected word is then regarded as a centroid concept in Wordnet. … International dialog systems, targeting non- native speakers, might consider employing basic simple phrases which use standard English vocabulary, with no slang or local variations (like ‘movie house’ in …

Speech Intent Recognition for Robots
B Shen, D Inkpen – … and Computers in Sciences and in Industry …, 2016 – ieeexplore.ieee.org
… D. Spoken Language Understanding The Spoken Language Understanding (SLU) module is the processing module of the dialog system. … For each verb in a word sequence, its similarities to all the verbs in the verb vectors are computed based on WordNet [9] definitions. …

plWordNet 3.0-a Comprehensive Lexical-Semantic Resource.
M Maziarz, M Piasecki, E Rudnicka, S Szpakowicz… – COLING, 2016 – aclweb.org
… is part of multilingual resources, eg, WordTies (Pedersen et al., 2012), Open Multilingual WordNet (Bond and Foster … semantic indexing of documents, semantic information retrieval, recommendation systems, construction of chatbots and dialogue systems, plagiarism detection …

Grounding, Justification, Adaptation: Towards Machines That Mean What They Say
D Schlangen – Proceedings of the 20th Workshop on the …, 2016 – pub.uni-bielefeld.de
… tions such as hyponymy and hypernymy), and we sketch a proof-of-concept imple- mentation of a dialogue system that re … that explicitly state connections between non-logical constants (eg, ?x.bachelor(x) ? ¬married(x)). The computational resource WORDNET (Fellbaum, 1998 …

AI for Online Criminal Complaints: From Natural Dialogues to Structured Scenarios
F Bex, J Peters, B Testerink – Artificial Intelligence for Justice …, 2016 – ecai2016.org
… evidence can be naturally rendered in an argumentation formalism [1], our main approach to dialogue management comes therefore from argumentation dialogue systems theory. … For instance, WordNet can be used for this [18], or in our case its Dutch variant by Postma et al.[19 …

Gamification:“The System Beats Human Huge Critical Thinking”
D Asha, P Mayilvahanan – ijeter.everscience.org
… For this problem, we are typically given a list of words and associated word senses, eg from a dictionary or from an online resource such as WordNet. 2.19 Information retrieval (IR) … Information Retrieval Web search system, or a dialogue system. …

Real-time language-independent algorithm for dialogue agents
A JORDAN, K ARAKI – ?????, 2016 – jstage.jst.go.jp
… using a corpus of example sentences in the target language, and the system output generation is similar to an example?base dialogue system ?16?. … for example, automatically acquire similar knowledge as knowledge presents in a lexical database such as WordNet?17?. …

SceneMaker: Creative Technology for Digital StoryTelling
N BT37 OQB – paulmckevitt.com
… ACM, New York, 507-510 (2005) 24. Wahlster, W.: Smartkom: Foundations of Multimodal Dialogue Systems. Springer Ver- lag, Berlin/Heidelberg (2006) 25. … Klincksieck, Paris (1959) 35. Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press. Cambridge (1998) 36. …

An architecture for telenoid robot as empathic conversational android companion for elderly people
R Sorbello, A Chella, M Giardina, S Nishio… – … Autonomous Systems 13, 2016 – Springer
… Open image in new window. Fig. 4 Question answer results of telenoid dialogue system. … We got a reduction in the rate of success in the case of who because the head words identified in a who question are not lexical categories for wordnet. …

Recognizing emotions in spoken dialogue with hierarchically fused acoustic and lexical features
L Tian, J Moore, C Lai – Spoken Language Technology …, 2016 – ieeexplore.ieee.org
… The HL model achieves state-of-the-art performance for recognizing emotions in spoken dialogue, and has the potential to be applied to dialogue systems to improve the quality of emotional interaction. … [16] Carlo Strapparava, Alessandro Valitutti, et al., “Wordnet affect: an …

Conversational agent for mobile-learning: A review and a proposal of a multilanguage text-to-speech agent,“MobiSpeech”
M Abdelkefi, I Kallel – … in Information Science (RCIS), 2016 IEEE …, 2016 – ieeexplore.ieee.org
… Mobile Chinese Learning for Foreigners in China – Context and language-learning materials – WordNet – The dialog system supports learners in studying or practicing language materials related to the current context. – Chinese learning process at any time and at any place. …

Reference Resolution in Situated Dialogue with Learned Semantics.
X Li, K Boyer – SIGDIAL Conference, 2016 – aclweb.org
… As dialogue systems move toward assisting users in increasingly com- plex tasks, these systems must understand users’ language within the environment of the tasks. … 6 Conclusion Dialogue systems need to move toward supporting users in increasingly complex tasks. …

Towards Automatic Identification of Effective Clues for Team Word-Guessing Games.
E Pincus, DR Traum – LREC, 2016 – lrec-conf.org
… The Association for Computational Linguistics. Miller, GA (1995). Wordnet: A lexical database for en- glish. Commun. ACM, 38(11):39–41, Nov. … who is this? quiz dialogue system and users’ evaluation. In 2008 IEEE Spoken Language Technology Workshop. 11. …

Incorporating Loose-Structured Knowledge into LSTM with Recall Gate for Conversation Modeling
Z Xu, B Liu, B Wang, C Sun, X Wang – arXiv preprint arXiv:1605.05110, 2016 – arxiv.org
… evidence to detect users’ context-aware queries and further select best answers based on the conversation his- tory, for building automatic dialog systems. … It is known that building a complex-structured knowledge (eg, WordNet6, Yago7) requires large amount of human work. …

Enhancements in Assamese spoken query system: Enabling background noise suppression and flexible queries
A Dey, S Shahnawazuddin, KT Deepak… – … (NCC), 2016 Twenty …, 2016 – ieeexplore.ieee.org
… The same wordnet and dictionary is employed in the decoding of SGMM- and DNN-based system as well. The word error rate (WER) metric is used as a measure of recognition performance. … 2687–2690. [4] JR Glass, “Challanges for spoken dialogue systems,” in Proc. …

SceneMaker: Creative Technology for Digital StoryTelling
M Akser, B Bridges, G Campo, A Cheddad… – … Conference on ArtsIT …, 2016 – Springer
… 507–510. ACM, New York (2005). 26. Wahlster, W.: Smartkom: Foundations of Multimodal Dialogue Systems. Springer, Berlin/Heidelberg (2006)CrossRefGoogle Scholar. 27. … Klincksieck, Paris (1959)Google Scholar. 37. Fellbaum, C.: WordNet: An Electronic Lexical Database. …

ANITA LILLA VERO
MS Grounding – pdfs.semanticscholar.org
… Image-based representation of phrases towards a goal-oriented, symbol-based dialogue system. … R&D in Natural Language Processing MorphoLogic I developed an Information Retrieval method using the WordNet ontology in C++ programming language. …

Towards Understanding Natural Language: Semantic Parsing, Commonsense Knowledge Acquisition and Applications.
A Sharma – IJCAI, 2016 – pdfs.semanticscholar.org
… Deep linguistic pro- cessing for spoken dialogue systems. In Proceedings of the Workshop on Deep Linguistic Processing, pages 49– 56. ACL, 2007. … [Miller, 1995] George A Miller. Wordnet: a lexical database for english. Communications of the ACM, 38(11):39–41, 1995. …

Towards an intelligent system for generating an adapted verbal and nonverbal combined behavior in human–robot interaction
A Aly, A Tapus – Autonomous Robots, 2016 – Springer
… Another interesting theoretical study was discussed in Wahlster and Kobsa (1989) and Zukerman and Litman (2001), where they focused on the field of user modeling (ie, understanding the user’s beliefs, goals, and plans) in artificial intelligence dialog systems, and illustrated …

Fostering parent–child dialog through automated discussion suggestions
A Boteanu, S Chernova, D Nunez… – User Modeling and User …, 2016 – Springer
… relations. It is derived from a number of both authored and mined linguistic sources, including DBPedia, WordNet, and VerbNet. … In addition, we used the WordNet interface that NLTK provides for converting words into lemmas. WordNet …

A neural knowledge language model
S Ahn, H Choi, T Pärnamaa, Y Bengio – arXiv preprint arXiv:1608.00318, 2016 – arxiv.org
… as the output of a generative language model is also inconvenient when the generated sentence is part of a user interface (eg, dialogue system). … For the string matching, we also used the synonyms provided by WordNet [28] as well as the alias information provided by Freebase …

Grounding the detection of the user’s likes and dislikes on the topic structure of human-agent interactions
C Langlet, C Clavel – Knowledge-Based Systems, 2016 – Elsevier
… With the new version of the framework, the system is able to deal with information provided by the dialogue system about topic … like-dislike expressions and deal with the compositionality principle: by first detecting lexical clues of like-dislike expressions (using WordNet-Affect [35 …

Deep Learning of Audio and Language Features for Humor Prediction.
D Bertero, P Fung – LREC, 2016 – lrec-conf.org
… Antonyms: presence of noun, verb, adjective and adverb antonyms in the previous utterance, obtained from WordNet (Miller, 1995). … Our ultimate goal is to integrate laughter response prediction in a machine dialog system, to allow it to understand and react to humor. …

Kannada speech to text conversion using CMU Sphinx
KM Shivakumar, KG Aravind… – Inventive …, 2016 – ieeexplore.ieee.org
… This task opens a wide avenue of research to carryout in developing language processing tools such as dictionaries, wordnet, parts of speech taggers, morphological analyzers, machine translation systems and … to have a human computer dialogue system in any local language. …

Seeing is believing: the quest for multimodal knowledge by Gerard de Melo and Niket Tandon, with Martin Vesely as coordinator
G de Melo, N Tandon – ACM SIGWEB Newsletter, 2016 – dl.acm.org
… In speech recognition, markedly lower error rates have enabled powerful dialog systems, including Siri on Apple’s iOS, Alexa for Amazon Echo, and various others … We use NLP resources such as WordNet and VerbNet as well as integer-linear programming to achieve this. …

Context Detection in Spreadsheets Based on Automatically Inferred Table Schema
A Wachtel, MT Franzen, WF Tichy – Context, 2016 – waset.org
… An integration of thesauri (as WordNet [49], [50]) could significantly improve the processing of such requests. … Resolution of named entity disambiguation: ambiguities in natural language queries could be handled by the active dialog system. …

Crowd-sourcing NLG Data: Pictures Elicit Better Data
J Novikova, O Lemon, V Rieser – arXiv preprint arXiv:1608.00339, 2016 – arxiv.org
… into pictorial representations as used in, eg (Black et al., 2011; Williams and Young, 2007) for evaluating spoken dialogue systems. … on dis- tributional similarity and Latent Semantic Analysis (LSA), and is further complemented with semantic relations extracted from WordNet. …

Learning distributed representations of sentences from unlabelled data
F Hill, K Cho, A Korhonen – arXiv preprint arXiv:1602.03483, 2016 – arxiv.org
… Examples include machine translation (Sutskever et al., 2014), image captioning (Mao et al., 2015) and dialogue systems (Serban et al., 2015). … Definitions from the training data matching those in the WordNet STS 2014 evaluation (used in this study) were excluded. …

A multi-agent conversational system with heterogeneous data sources access
EM Eisman, M Navarro, JL Castro – Expert Systems with Applications, 2016 – Elsevier
… to find the answer to a question. • interactive NLIs: used in dialog systems, they have memory to remember previous questions. In this paper we will focus on NLIs to structured data and interactive NLIs. In order to be able to better …

SemEval-2016 Task 2: Interpretable Semantic Textual Similarity.
E Agirre, A Gonzalez-Agirre, I Lopez-Gazpio… – SemEval@ NAACL …, 2016 – aclweb.org
… The Answer-Students corpus consists of the in- teractions between students and the BEETLE II tu- torial dialogue system. … We noticed, for instance, that WordNet or word embed- dings were used by several teams to compute word similarity. …

Discovering Ontological Correspondences Through Dialogue
G Santos, TR Payne, V Tamma, F Grasso – Knowledge Engineering and …, 2016 – Springer
… approach, the agents can utilise different similarity metrics (eg the Jaccard similarity coefficient, or metrics that exploit linguistic resources such as Wordnet [20] to … It is customary to analyse dialogue systems in terms of their soundness, completeness and termination properties. …

Challenges facing the development of the Arabic chatbot
ES AlHagbani, MB Khan – First …, 2016 – proceedings.spiedigitallibrary.org
… The obstacle of developing Arabic NLP application come from the poor content of the Arabic Wordnet (AWN) in comparison with other languages such as English and Latin as seen … [ 2 ] Woudenberg, A., “A Chatbot Dialogue Manager – Chatbots and Dialogue Systems: A Hybrid …

Syntactic Well-Formedness Diagnosis and Error-Based Coaching in Computer Assisted Language Learning using Machine Translation
LM da Costa, F Bond, H Xiaoling – NLPTEA 2016, 2016 – aclweb.org
… The OMW tightly integrates the English Princeton Wordnet (Fellbaum, 1998) and the Chinese Open Wordnet (Wang and Bond, 2013), allowing us to … The MT Based Ambiguity Solver is a basic dialog system (similar to Figure 1) that will request help from the student to decide …

CFGs-2-NLU: Sequence-to-sequence learning for mapping utterances to semantics and pragmatics
AJ Summerville, J Ryan, M Mateas… – arXiv preprint arXiv …, 2016 – arxiv.org
… Due to the highly structured nature of the interactions in service dialogue systems, rule-based systems for natural language understanding (NLU) can be successful in that interaction paradigm, eg, by pattern matching of the form: … O’Shea et al. [11] used WordNet to calculate …

FBK-HLT-NLP at SemEval-2016 Task 2: A Multitask, Deep Learning Approach for Interpretable Semantic Textual Similarity.
S Magnolini, A Feltracco, B Magnini – SemEval@ NAACL-HLT, 2016 – aclweb.org
… include three datasets: image captions (Images), pairs of sen- tences from news headlines (Headlines), and a question-answer dataset collected and annotated during the evaluation of the BEETLE II tutorial dialogue system (Student Answers) (Agirre … WordNet based features. …

Extraction of Drug Reviews by Specific Aspects for Sentimental Analysis
V Moon, P Borkar – pdfs.semanticscholar.org
… In this paper, spoken dialogue system involves three methods: Speech processing, Language understanding and dialogue management. … The wordnet dictionary is used for the sentimental analyses which possess the list of adjectives. …

Chinese poetry generation with planning based neural network
Z Wang, W He, H Wu, H Wu, W Li, H Wang… – arXiv preprint arXiv …, 2016 – arxiv.org
… The extra knowledge sources can be used include encyclopedias, sugges- tions of search engines, lexical databases (eg WordNet), etc. … 2016. How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation. …

This Publication is available in Microform.
I Engineer – Ann Arbor – aclweb.org
… Envgram Computational Environments for Grammar Develop- ments and LE Interactive Spoken Dialogue Systems Intelligent Scalable Text … Terminology Processing of Dependency Based Grammars Computational Treatment of Nominals Usage of WordNet in NLP Systems …

Affective analysis and Modeling of Spoken Dialogue Transcripts
E Palogiannidi – 2016 – researchgate.net
… Jose Lopes, Arodami Chorianopoulou, Elisavet Palogiannidi, Helena Moniz, Alberto Abad, Katerina Louka, Elias Iosif and Aleandros Potamianos “The SpeDial Datasets: Datasets for Spoken Dialogue Systems Analytics”, in Proceedings of the 10th edition of the Language …

Integrating quality of information with pragmatic assistance
J Edwards, T Cassidy, G de Mel… – … Workshops), 2016 IEEE …, 2016 – ieeexplore.ieee.org
… action is available to the system. Modern dialogue systems research has largely moved to- ward formulating dialogue strategy as a data-driven optimiza- tion problem [15]. In Partially Observable Markov Decision Processes …

The joint student response analysis and recognizing textual entailment challenge: making sense of student responses in educational applications
MO Dzikovska, RD Nielsen, C Leacock – Language Resources and …, 2016 – Springer
… The SRA corpus consists of two distinct subsets: Beetle data, based on transcripts of students interacting with Beetle II tutorial dialogue system (Dzikovska et … These could be either in the form of external dictionaries such as WordNet, or clustering similar words together based on …

Overview of the Development of Language Resources and Technologies in Lithuania
U Andrius, D AMILEVICIUS… – … Technologies–The Baltic …, 2016 – books.google.com
… The most prioritized are the following topics: machine translation, speech analysis, dialogue systems, automatic summarization, semantic technologies … Ontologies LitWordNet, a version of Lithuanian WordNet, was built, utilizing previously built limited WordNet version [15], as …

Chatbots’ Greetings to Human-Computer Communication
MJ Pereira, L Coheur, P Fialho, R Ribeiro – arXiv preprint arXiv …, 2016 – arxiv.org
… However, terms like dialogue system, avatar, artificial conversational entity, con- versational avatar, intellectual agents, virtual people, or virtual … as it uses several exter- nal resources broadly used in Natural Language Processing applications, such as Wordnet (Fellbaum, 1998 …

A Pedagogical Model for Computational Linguistics across Curricular Boundaries
CO Alm, K Womack, A Haake… – Language and …, 2016 – Wiley Online Library
… for introduction of computational and mathematical theories because of their ubiquitous real-world applications (search engines, dialog systems, etc.) and … on social media text analytics), and try-it-yourself resources (web visualizations, NLP web demos, WordNet in NLTK, and …

Towards Empathetic Human-Robot Interactions
P Fung, D Bertero, Y Wan, A Dey, RHY Chan… – arXiv preprint arXiv …, 2016 – arxiv.org
… It follows that we shall embody interactive dialog systems in simulated or robotic forms. … The rows are word vector represen- tations of each word in that sentence. There are several publicly available word vec- tors sets, such as Google word2vec, WordNet or GloVe. …

Towards a natural language interface for web based application programming interfaces: An analysis of state-of-the-art methods
L Araneda Freccero, J Munoz Caceres – 2016 – diva-portal.org
… Although this approach is mainly aimed at spoken dialog systems, we be- lieve it should be equally applicable in systems where text is the … in terms of attribute and relation names as well as the individual values and cre- ates synonym tokens for them using WordNet, an online …

Dimensional sentiment analysis in valence-arousal for Chinese words by linear regression
JF Yeh, TY Kuang, YJ Huang… – … Processing (IALP), 2016 …, 2016 – ieeexplore.ieee.org
… Both SentiWordNet 1.0 and SentiWordNet 3.0 are the result of automatically annotating all WordNet synsets according to their degrees of positivity, negativity … Affect and Social Processes in Online Communication-Experiments with an Affective Dialog System.” IEEE Transactions …

Global Brain That Makes You Think Twice
R Rzepka, M Mazur, A Clapp, K Araki – 2016 AAAI Spring Symposium …, 2016 – aaai.org
… Dialog Systems as Integrators … We believe that naturalness of machine-generated language will be crucial for decreasing the level of stress which of- ten accompanies us while using dialog systems in mobile phones or car navigation systems. …

Global Brain That Makes You Think Twice
R Rafal, M Michal, C Austin… – AAAI Spring Symposium …, 2016 – eprints.lib.hokudai.ac.jp
… Dialog Systems as Integrators … We believe that naturalness of machine-generated language will be crucial for decreasing the level of stress which of- ten accompanies us while using dialog systems in mobile phones or car navigation systems. …

Domain Adaptation for Neural Networks by Parameter Augmentation
Y Watanabe, K Hashimoto, Y Tsuruoka – arXiv preprint arXiv:1607.00410, 2016 – arxiv.org
… However, the synthesis protocol is only applicable to the spoken dialogue system. In this paper, we focus on domain adaptation meth- ods which can be applied without dataset-specific tricks. Yang et al. … The score is computed based on wordnet similar- ities (Miller, 1995). …

Analysis, optimization and development of an answer scoring system
I Lopez-Gazpio – 2016 – addi.ehu.es
… 7 sponse classes1. The corpora has been created out of two established sources: the BEETLE corpus, a data set collected and annotated during the evalu- ation of the BEETLE II tutorial dialogue system [Dzikovska et al., 2010]; and the SCIENTSBANK corpus, a set of student …

Linguistic and Multilingual Issues in 3D3C Worlds
S Cruz-Lara, A Denis, N Bellalem… – Handbook on 3D3C …, 2016 – Springer
… www.cis.uni-muenchen.de/~schmid/tools/TreeTagger/) 4. A search is then performed in WordNet-Domains and WordNet-Affect in … people, and enrich their experience of the content; emotion recognition (eg, for spotting angry customers in speech dialog systems); support for …

Identification of nonliteral language in social media: A case study on sarcasm
S Muresan, R Gonzalez?Ibanez… – Journal of the …, 2016 – Wiley Online Library
… In our work we used an empirical approach to identifying lexical factors based on lexicons such as Linguistic Inquiry and Word Count (LIWC) (Pennebaker, Francis, & Booth, 2001) and WordNet Affect (Strapparava & Valitutti, 2004), as well as punctuation and interjections. …

Language Processing with Perl and Prolog: Theories, Implemetation, and Application
W Lu – 2016 – MIT Press
… Some useful resources such as WordNet, FrameNet, and Propositional Bank are also introduced here. … Many open issues remain to be addressed on such a topic, but some discussions on building simple dialogue systems are given in this chapter. …

CHAPTER THREE BUILDING MULTIMEDIA DIALOGUES ANNOTATING HETEROGENEOUS RESOURCES1 ANTONIO SORGENTE, ANTONIO CALABRESE
G CODA, P VANACORE, F MELE – Artificial Intelligence for …, 2016 – books.google.com
… 1. 2. 3. 4. The rest of the paper is organized with the aim of presenting a proposal for each aspect of our approach. In the section called Related Works, we present the related works about dialogue systems in Cultural Heritage. …

Accurate semantic similarity measurement of biomedical nomenclature by means of fuzzy logic
J Martinez-Gil – International Journal of Uncertainty, Fuzziness and …, 2016 – World Scientific
… Past works in this field include the automatic processing of text and email messages,14 healthcare dialogue systems,5 question answering,21 and sentence fusion.3 According to Sanchez et al.;29 existing semantic similarity measures can be classified into one of these four …

A General Evaluation Framework for Text Based Conversational Agent
M Hijjawi, Z Bandar, K Crockett – International Journal of …, 2016 – e-space.mmu.ac.uk
… Different terms can be used to define a system has the ability to handle user conversations such as Conversational Agent (CA), dialog system and chatterbot. … The SSS approach is based on computational semantic based manual built databases such as WordNet [11, 12]. …

Interactive Semantic Featuring for Text Classification
C Jandot, P Simard, M Chickering, D Grangier… – arXiv preprint arXiv …, 2016 – arxiv.org
… WordNet. Wiley Online Library, 1998. … Williams, Jason D, Kamal, Eslam, Mokhtar Ashour, Hani Amr, Miller, Jessica, and Zweig, Geoff. Fast and easy language understanding for dialog systems with mi- crosoft language understanding intelligent service (luis). …

AUTOMATIC DISCOVERY OF SIMILAR WORDS BY SUBSTITUTE VECTORS.
? DÜZENL?, MF Amasyali – Sigma: Journal of Engineering & Natural …, 2016 – ce.yildiz.edu.tr
… language processing applications such as dialogue systems [1, 2, 3], and customer management systems [4, 5]. Knowledge extraction from unstructured … patterns are the most popular way of automatic knowledge extraction [6]. Hearst used patterns to find Wordnet relations [7 …

An ontology for human-like interaction systems
EA García – 2016 – core.ac.uk
… 3.2.2.1 Conceptual relations in WordNet ….. 23 … Thus, the challenge is to develop a dialogue system able of Page 11. 11 learning new concepts and semantic relations by itself, enriching its ontology for improving future interactions. …

An ontology for human-like interaction systems
E Albacete García – 2016 – e-archivo.uc3m.es
… 3.2.2.1 Conceptual relations in WordNet ….. 23 … Thus, the challenge is to develop a dialogue system able of Page 12. 11 learning new concepts and semantic relations by itself, enriching its ontology for improving future interactions. …

Toward robust semantic interaction for English language learners
T Luu – 2016 – bir.brandeis.edu
… discussions on discourse and pragmatics, including discourse coherence, entity salience, Centering theory, conversational scoreboards and dialog systems, from both theoretical … develop a text-based dialog system that is capable of acquiring semantic and pragmatic …

CoTO: A novel approach for fuzzy aggregation of semantic similarity measures
J Martinez-Gil – Cognitive Systems Research, 2016 – Elsevier
… Past works in this field include the automatic processing of text messages (Lamontagne & Lapalme, 2004), healthcare dialogue systems (Bickmore & Giorgino, 2006), natural language querying of databases (Erozel, Cicekli, & Cicekli, 2008) and question answering (Moschitti & …

Towards Application of Speech Act Theory to Opinion Mining
AM Pluwak – Cognitive Studies| Études cognitives, 2016 – ceeol.com
… As can be deduced from the above constructions, thanks to semantic tools, such as Wordnet and FrameNet, quite unusual coding rules can … Applications, such as in dialogue systems (eg Reschke, Vogel, & Ju- rafsky, 2013), unsupervised detection of speech acts in English and …

A Study on English Language Tutoring System Using Code-Switching Based Second Language Vocabulary Acquisition Method
M Mazur – 2016 – eprints.lib.hokudai.ac.jp
… emerged in Computer Science over the following years. Dialogue systems are an example of technology that made interaction between human and machine possible. … been used for a broad range of applications. Nowadays, dialogue systems are …

12. Question Answering and Textual Inference
G Penn – 2016 – cs.toronto.edu
… There’s still Microsoft English Query ? Spoken dialog systems ? Currently very active and commercially relevant Page 13. … Bilbo shouldn’t have played riddles in the dark with this shady character from WordNet’s Synonym-sets Page 20. …

Speech Act Identification Using Semantic Dependency Graphs with Probabilistic Context-Free Grammars
JF Yeh – ACM Transactions on Asian and Low-Resource …, 2016 – dl.acm.org
… Hypernyms that are superordinate concepts of the words, such as the hypernyms of synsets in WordNet (http://www.cogsci … previously, numerous attempts have been made by scholars to demonstrate the demand for spoken language understanding in spoken dialogue systems. …

Question answering in conversations: Query refinement using contextual and semantic information
M Habibi, P Mahdabi, A Popescu-Belis – Data & Knowledge Engineering, 2016 – Elsevier
… To answer the questions, our method leverages the local context with external semantic resources, either WordNet or word embeddings. • … Among the two semantic query expansion approaches, the results show that word embeddings outperform WordNet. …

Trend Analysis of Belief-State History with Discrete Wavelet Transform for Improved Intention Discovery
VIK Mulpuri – 2016 – search.proquest.com
… c. Java WordNet Library (JWNL 1.4) A Java API for accessing the WordNet relational. dictionary. … 50. 4.3 Ontology-based requirement model. A frame-based dialog system is developed by Xieshen Zhang in this thesis [35] which uses the ontology model as the knowledge base. …

METHODS, APPROACHES, PRINCIPLES, GUIDELINES AND APPLICATIONS ON MULTILINGUAL ONTOLOGIES: A SURVEY.
R Lourdusamy, JM Florrence – ICTACT Journal on Soft Computing, 2016 – ictactjournals.in
… The mapping strength of a selected term is computed in this algorithm using WordNet synset associated with Suggested Upper Merged … Multilingual Question Answering over Linked Data (QALD) system [50] and ontology-based dialog system with multiple services are used to …

An Overview of Feature Based Opinion Mining
A Golande, R Kamble, S Waghere – The International Symposium on …, 2016 – Springer
… algorithm with 84 – – 2006 [5] WordNet M.Taylor Holistic linguistic – 90 93 … Newton, MA, USA: O’Reilly, 2011. [30] Z. Callejas and R. Lopez_-Cozar,_ “Influence of contextual informa-tion in emotion annotation for spoken dialogue systems,” Speech Commun., vol. 50, no. 5, pp. …

Towards Building A Domain Agnostic Natural Language Interface to Real-World Relational Databases
SH Ramesh, J Jain, KS Sarath… – Proceedings of the 13th …, 2016 – aclweb.org
… changes, because we lever- aged a very generic word embedding model that was trained on the Google News corpus, and a WordNet thesaurus to … our system by adding support for complex SQL queries like nested queries and we also plan to make it a dialog system that is …

A brief review on sentiment analysis
N Raghuvanshi, JM Patil – Electrical, Electronics, and …, 2016 – ieeexplore.ieee.org
… movies, politicians, etc., improving customer relation models, detecting happiness and well-being, and improving automatic dialogue systems. … to adjectives and adverbs, handling negations, bounding word frequencies by a threshold, and using WordNet synonyms knowledge. …

Creating a Conversational Interface Using Chatbot Technology
M McTear, Z Callejas, D Griol – The Conversational Interface, 2016 – Springer

When the Answer comes into Question: Survey and open issues
AC Mendes, L Coheur – inesc-id.pt
… method to sense disambiguation of Q/A pairs (stored in a knowledge base) and the posed question, based on the WordNet synsets and … As opposed to what is expected to happen in Dialogue Systems, in which interac- tions are supposed to go across multiple turns or sentences …

Speaky for robots: the development of vocal interfaces for robotic applications
E Bastianelli, D Nardi, LC Aiello, F Giacomelli… – Applied …, 2016 – Springer

Sentiment analysis: from opinion mining to human-agent interaction
C Clavel, Z Callejas – IEEE Transactions on affective computing, 2016 – ieeexplore.ieee.org
… Detection of various emotions according to the application for dialog systems [25], [81], [83]. … There are a variety of open source sentiment lexicons in English used by sentiment detection systems: SentiWordNet [96], EmotiWord[103], the LIWC dictionary [101], WordNet Affect [97 …

A Naïve Bays Classifier to Classify Movie
N Raghuvanshi, JM Patil – ijarcet.org
… movies, politicians, etc., improving customer relation models, detecting happiness and well-being, and improving automatic dialogue systems. … to adjectives and adverbs, handling negations, bounding word frequencies by a threshold, and using WordNet synonyms knowledge. …

WikiSpeech–enabling open source text-to-speech for Wikipedia
J Andersson, S Berlin, A Costa… – Proceedings of the …, 2016 – pdfs.semanticscholar.org
… for text-to-speech synthesis: ie the Semantic and morphological lexicon Saldo, a Swedish FrameNet and SweSaurus a Swedish WordNet. … to-speech, and it presents special challenges that are not present in for example a standard, transactional spoken dialogue system like an …

Character modeling through dialogue for expressive Natural Language Generation
GI Lin – 2016 – search.proquest.com
… 2015b], was created to build end-to-end dialogue systems with recurrent neural networks (RNN) and n-gram models. … approximate a reference text, by selecting predicates and arguments from among controlled vocabularies drawn from resources such as WordNet and VerbNet. …

A Run-Time Approach of Combining Ontologies to Enhance Interactive Requirements Elicitation for Software Customization
S Tripathi – 2016 – search.proquest.com
… Java WordNet Library (JWNL) [7] – Java API for accessing WordNet. Apache Lucene [2] – Java library used for information retrieval. … Figure 4.1 shows the existing interface of the dialogue system [73]. Figure 4.1: Existing interface of Interactive Requirements Elicitation system. …

Intensified Sentiment Analysis of Customer Product Reviews Using Acoustic and Textual Features
S Govindaraj, K Gopalakrishnan – ETRI Journal, 2016 – etrij.etri.re.kr
… His research areas of interest include human–computer interaction and spoken dialogue systems. … SentiWordNet consists of annotated synsets of WordNet according to the notions of “positivity,” “negativity,” and “neutrality.” SentiWordNet calculates three numerical scores, Pos(s …

Understanding user instructions by utilizing open knowledge for service robots
D Lu, F Wu, X Chen – arXiv preprint arXiv:1606.02877, 2016 – arxiv.org
… knowledge available in open resources, such as the Open Mind Indoor Common Sense (OMICS) database [7], wikihow1, WordNet, and many other … The overall architecture of our system is shown in Figure 2. As we can see, the human-robot dialog system transcribes spoken …

Ontology-Based Semantic Q&A system in Health Care: An Illustrated
SH Wang – 2016 – etd.lib.nsysu.edu.tw
… They also based on WordNet to build the tree structures of words. Tagging the relationship for each word to … Moreda et al (2011) integrated with semantic information, semantic rules, and WordNet to compute the questions, finding the questions patterns. Besbes et al. …

Neural Paraphrase Generation with Stacked Residual LSTM Networks
A Prakash, SA Hasan, K Lee, V Datla, A Qadir… – arXiv preprint arXiv …, 2016 – arxiv.org
… et al., 2015), speech recognition (Li and Wu, 2015), language modeling (Vinyals et al., 2015), and dialogue systems (Serban et al … generated paraphrases by considering n-gram overlaps while METEOR improves upon this measure via stemming and synonymy using WordNet. …

A survey of semantic similarity measuring techniques for information retrieval
M Kathuria, CK Nagpal, N Duhan – Computing for Sustainable …, 2016 – ieeexplore.ieee.org
… metadata extraction, natural language proceSSing taSkS Such aS language modeling, word SenSe diSamBiguation, grammar induction, Speech underStanding and open dialogue SyStem. … A weB Source like wordnet iS alSo an example of TheSauruS BaSed Similarity. …

Affective Conversational Interfaces
M McTear, Z Callejas, D Griol – The Conversational Interface, 2016 – Springer
… Sentiment lexicons are the most crucial resource for most sentiment analysis algorithms. SentiWordNet . 14 SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, and objectivity (Baccianella et al. 2010). …

Machine Translation Using Semantic Web Technologies: A Survey
D Moussallem, ACN Ngomo, M Wauer – IOS Press, 2016 – semantic-web-journal.net
Page 1. Undefined 1 (2016) 1–5 1 IOS Press Machine Translation Using Semantic Web Technologies: A Survey Systematic Literature Review and Challenges Editor(s): Name Surname, University, Country Solicited review(s …

A comprehensive study of classification techniques for sarcasm detection on textual data
AD Dave, NP Desai – Electrical, Electronics, and Optimization …, 2016 – ieeexplore.ieee.org
… in discernibility for sarcastic sentences may create problems for many Natural Language Processing based system such as online review summarization systems, dialogue systems or brand … While determining the semantic orientation of words WordNet-like dictionary is used . …

Automatically Inferring Implicit Properties in Similes.
A Qadir, E Riloff, MA Walker – HLT-NAACL, 2016 – anthology.aclweb.org
… Marilyn A. Walker Natural Language and Dialogue Systems Lab University of California Santa Cruz Santa Cruz, CA 95064, USA mawalker@ucsc … Wiktionary, the Collabora- tive International Dictionary of English, The Cen- tury Dictionary and Cyclopedia, and WordNet 3.0 (Miller …

Modeling Satire in English Text for Automatic Detection
AN Reganti, T Maheshwari, U Kumar… – … (ICDMW), 2016 IEEE …, 2016 – ieeexplore.ieee.org
Page 1. Modeling Satire in English Text for Automatic Detection Aishwarya N Reganti, Tushar Maheshwari, Upendra Kumar, Amitava Das IIIT, Sri City, Chittoor, India {aishwarya.r14,tushar.m14, upendra.k14,amitava.das}@iiits.in …

Sentiment Analysis for Small and Big Data
M Thelwall – The SAGE Handbook of Online Research Methods, 2016 – books.google.com
… Strapparava and Mihalcea, 2008). The results suggested that the best method varies by over- all objective but a linguistic lexical approach with both WordNet Affect and SentiWordNet performed well. A more detailed method …

Text analytics in industry: Challenges, desiderata and trends
A Ittoo, LM Nguyen, A van den Bosch – Computers in Industry, 2016 – Elsevier
… Similarity between the input query and the cases in the case-base is computed by various semantic similarity measures, such as the PATH method [35] and other traditional WordNet-based measures such as [36] and [37]. 3.1.6.3. Evaluation. …

Language Processing with Perl and Prolog
PM Nugues – 2016 – Springer
Page 1. Cognitive Technologies Pierre M. Nugues Language Processing with Perl and Prolog Theories, Implementation, and Application Second Edition Page 2. Cognitive Technologies Managing Editors: DM Gabbay J. Siekmann …

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
K Erk, NA Smith – Proceedings of the 54th Annual Meeting of the …, 2016 – aclanthology.info
… There have been many attempts to build such a semantics of content words by hand, from the generative semantics of the ’60s to WordNet and other resources of the present. The ’60s saw attempts based on gen- erative semantics …

Ontology based intercultural patient practitioner assistive communications from qualitative gap analysis
D Forbes, P Wongthongtham – Information Technology & …, 2016 – emeraldinsight.com

Gaussian Attention Model and Its Application to Knowledgebase Embedding and Question Answering
L Zhang, J Winn, R Tomioka – arXiv preprint arXiv:1611.02266, 2016 – arxiv.org
… Knowledge bases, such as WordNet and Freebase, can also be stored in memory either through an explicit knowledge base embedding (Bordes et al., 2011; Nickel et al., 2011; Socher et al., 2013) or through a feedforward network (Bordes et al., 2015). …

PersoNER: Persian Named-Entity Recognition
H Poostchi, E Zare Borzeshi, M Abdous… – The 26th International …, 2016 – opus.lib.uts.edu.au
… Applications Tim Baldwin Maria Liakata Dialog Processing and Dialog Systems, Multimodal Interfaces Nina Dethlefs Simon Keizer Giuseppe Riccardi Speech Recognition, Text-To-Speech, Spoken Language Understanding Florian Metze Chung-Hsien Wu …

Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Y Matsumoto, R Prasad – Proceedings of COLING 2016, the 26th …, 2016 – aclweb.org
… Applications Tim Baldwin Maria Liakata Dialog Processing and Dialog Systems, Multimodal Interfaces Nina Dethlefs Simon Keizer Giuseppe Riccardi Speech Recognition, Text-To-Speech, Spoken Language Understanding Florian Metze Chung-Hsien Wu …

Log-linear rnns: Towards recurrent neural networks with flexible prior knowledge
M Dymetman, C Xiao – arXiv preprint arXiv:1607.02467, 2016 – arxiv.org
… In principle, generally speaking, any features that can support gener- alization, such as features representing semantic classes (eg nodes in the Wordnet hierarchy), morphosyntactic classes (lemma, gender, number, etc.) or the like, can be useful. …

The comprehension of figurative language: what is the influence of irony and sarcasm on NLP techniques?
L Weitzel, RC Prati, RF Aguiar – Sentiment Analysis and Ontology …, 2016 – Springer
… partially sighted users; automatic report generation (possibly multilingual); machine translation; plagiarism detection tools; email understanding and dialogue systems [5 … is an approach that is widely used in opinion mining , and is based on an English lexical dictionary WordNet. …

Domain-Specific Semantic Role Labeling: Portability of Existing Resources
N Reese – 2016 – search.proquest.com
… VerbNet (Kipper-Schuler, 2005; Kipper et al., 2000) has many of the strengths needed for use in dialogue systems, especially because it is … The resource is linked to WordNet and focuses on creating a representation of the possible syntactic information and predicate-argument …

A Base Camp for Scaling AI
CJC Burges, T Hart, Z Yang, S Cucerzan… – arXiv preprint arXiv …, 2016 – arxiv.org
… 1We also use “TAL” to denote the overall dialog system itself, when the meaning is clear from context. 6 … is to detect when the user has the intent to make a purchase, we demonstrate how an English speaker, using a TAL instance that integrates the WordNet semantic taxonomy …

Predicting second language proficiency level using linguistic cognitive task and machine learning techniques
YW Yang, WH Yu, HS Lim – Wireless Personal Communications, 2016 – Springer
… In their work, oral data obtained through a spoken dialogue system were rated by human judges and the system, and the results were compared for similarity and accuracy. … The semantically related target words were obtained from Wordnet. 6.2 Data Set. …

A study of the use of natural language processing for conversational agents
RS Wilkens – 2016 – lume.ufrgs.br
… by several terms, including animated agents or embedded conversational agents (ECA). A dialogue system has six basic components. (1) The speech recognition component is res- … In this sense dialogue systems provide a natural language interaction with the user. …

Computational generation and dissection of lexical replacement humor
A Valitutti, A Doucet, JM Toivanen… – Natural Language …, 2016 – cambridge.org
… Intentional generation of humorous slips could be used as a component of dialogue systems to make them more human-like, or they … As a collection of English words, we used WordNet lexical database (Fellbaum 1998) and the CMU pronunciation dictionary2. …

A Corpus for Event Localization
C Ward – 2016 – bir.brandeis.edu
… are used as labels for images, they bear no relations to one another, ignoring simple relationships like part of(bedroom, house). Unlike WordNet (Miller 1995) or ImageNet (Deng et al. 2009), which are hierarchically arranged, the categories in Places2 are simply …

The Enhanced Arabchat: An Arabic Conversational Agent
M Hijjawi, Z Bandar, K Crockett – International Journal of …, 2016 – e-space.mmu.ac.uk
… The SSS approach is based on computational semantic based manual built databases such as WordNet [3]. However, such database established in 2006 [3], and the research in SSS, in general, is still a young research area in the Arabic language [4]. …

Emotion Modelling via Speech Content and Prosody: In Computer Games and Elsewhere
B Schuller – Emotion in Games, 2016 – Springer
… to a richer number of available affective dictionaries and other related knowledge sources such as ConceptNet, General Inquirer, or WordNet [31, 47 … synthesiser is often given in computer games, this may be a promising road in affect recognition for gaming or dialogue systems. …

Automatic Generation of Sports News
JPBM Aires – 2016 – repositorio-aberto.up.pt
… information [28]. Dialogue Systems Dialogue system’s main purpose is to improve human-machine communica- tion. Users interact directly with the system that creates sentences conditioned by the previous context. There are …

Formal specification level
M Soeken, R Drechsler – 2016 – Springer
… sentences. An implementation concept for the first approach is given as the integrated development environment lips which particularly focuses on the dialog system for the information transfer between the designer and the computer. …

Error Analysis in an Automated Narrative Information Extraction Pipeline
J Valls-Vargas, J Zhu, S Ontanon – IEEE Transactions on …, 2016 – ieeexplore.ieee.org
… Margaretha & DeVault [37] tackle the issue of automated eval- uation of pipeline architectures in natural language dialogue systems using a … Vector Assembly as it involves aggregating the output from other modules and external knowledge (eg, Conceptnet, Wordnet) which we …

Learning to Interpret and Generate Instructional Recipes
C Kiddon – 2016 – digital.lib.washington.edu
… 69 4.5 Dialogue System Results . . . . . … Laroche et al. (2013) proposed Cooking Coach, a spoken dialogue system to help a user search for recipes and prepare the recipe. A similar, if not more futuristic, application is the construction of robotic cooking assistants (Beetz …

Expanding science and technology thesauri from bibliographic datasets using word embedding
T Kawamura, K Kozaki, T Kushida… – Tools with Artificial …, 2016 – ieeexplore.ieee.org
… 37.47% precision and 38.05% recall with unlimited candidates compared to the science category of English WordNet, although the task … and R. Sarikaya: “En- riching Word Embeddings Using Knowledge Graph for Semantic Tagging in Conversational Dialog Systems,” In Proc. …

Notational Conventions and Symbols
KI Baldwin, S Ishizaki, H Nakagawa, A Shimazu – people.eng.unimelb.edu.au
Page 1. Bond, Francis and Timothy Baldwin (2016) Introduction to Japanese Computational Linguistics, In Francis Bond, Timothy Baldwin, Kentaro Inui, Shun Ishizaki, Hiroshi Nakagawa and Akira Shimazu (eds.) Readings in …

Data-driven natural language generation using statistical machine translation and discriminative learning
E Manishina – 2016 – theses.fr
… communicate with us in our language. Most modern systems communicating directly with the user share one common feature: they have a dialog system (DS) at their base. As of … 103 4.2 New training examples built with synonyms obtained from Wordnet (before filtering) . . . . …

IMPROVING KNOWLEDGE BASE POPULATION WITH INFORMATION EXTRACTION
X Li – 2016 – pdfs.semanticscholar.org
… The mined 10 Page 28. CHAPTER ? INTRODUCTION Method Schema Examples curated yes Cyc/OpenCyc (Lenat, 1995) WordNet (Miller, 1995) UMLS (Bodenreider, 2004) collaborative yes Wikidata (Vrandecic and Krötzsch, 2014) Freebase (Bollacker et al., 2008) auto. …

An Exploratory Study on Process Representations
CN Naik – 2016 – search.proquest.com
… and have been shown to benet question answering [7, 8], textual entailment [9], machine translation [1012], and dialogue systems [13, 14 … We used an approach that combined WordNet-based phrase similarity method, and word2vec vector similarity, where the vectors where …

D4. 1: Natural Multimodal Interaction Baseline
B Kiefer, HU Krieger, I Kruijff-Korbayová, S Raccioppa – pal4u.eu
Page 1. D4.1: Natural Multimodal Interaction Baseline Bernd Kiefer, Hans-Ulrich Krieger, Ivana Kruijff-Korbayová, Stefania Raccioppa DFKI GmbH ?{kiefer,krieger, ivana.kruijff,stefania.racioppa}@dfki.de? Project, project Id: EU …

Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics
P Wiriyathammabhum, D Summers-Stay… – ACM Computing …, 2016 – dl.acm.org
Page 1. 71 Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics PERATHAM WIRIYATHAMMABHUM, University of Maryland, College Park DOUGLAS SUMMERS-STAY, US …

Automated fictional ideation via knowledge base manipulation
MT Llano, S Colton, R Hepworth, J Gow – Cognitive computation, 2016 – Springer

Methods for open information extraction and sense disambiguation on natural language text
L Del Corro – 2016 – scidok.sulb.uni-saarland.de
… Word Sense Induction Dialogue Systems Text Categorization Privacy … Werdy is a method to (i) automatically recognize in natural language text both single words and multi-word phrases that match entries in a lexical KB like WordNet (Fellbaum, 1998), and …

An Iterative Transfer Learning Based Ensemble Technique for Automatic Short Answer Grading
S Roy, HS Bhatt, Y Narahari – arXiv preprint arXiv:1609.04909, 2016 – arxiv.org
… It is a simple baseline measure which looks for exact match for every content words (post pre-processing eg stopword removal and stemming) between student and model answers. • JC and SP: These are two semantic similarity measures based on Wordnet [36]. …

A Corpus Driven Computational Intelligence Framework for Deception Detection in Financial Text
SZ Minhas – 2016 – dspace.stir.ac.uk
… Thematic content is also examined using topic modelling techniques. A new algorithm is written using Part of Speech (POS) tagging and WordNet to pull out key concepts from the corpus. All these techniques provide features that are representative of the …

Word representation using a deep neural network
Y Li – 2016 – search.proquest.com
… The vectors can be used in various scenarios in NLP, such as machine translation, knowledge extraction, information retrieval, and dialogue systems. … Automatic assignment of Wikipedia encyclopedic entries to WordNet synsets. …

Linguistic Knowledge in Data-Driven Natural Language Processing
Y Tsvetkov – 2016 – cs.cmu.edu
… driven models underperform in low-resource settings: they are inadequate, for example, to translate African languages, to detect metaphors in Russian and Persian, to grammatically parse Cantonese, to model Latin or Hebrew morphology, to build dialog systems for indigenous …

College of Natural Sciences
K Yitbarek – 2016 – etd.aau.edu.et
… 5 Acronyms DLT Distributed Language Translation DS Dialogue Systems HW Head word … the speaker or writer wants to say. NLG can be applied in different areas of natural language processing like Dialogue System, Machine Translation, Speech-to-Text translation, and so on. …

Unsupervised entity linking using graph-based semantic similarity
AM Naderi – 2016 – upcommons.upc.edu
… amount of unstructured documents to the structured data during a short span of time.2 • EL systems can be used in the platform of all human-computer/robot dialogue systems. To communicate, these systems should firstly infer the speech dialogue. This in turn …

A data mining approach to ontology learning for automatic content-related question-answering in MOOCs.
S Shatnawi – 2016 – openair.rgu.ac.uk
Page 1. AUTHOR: TITLE: YEAR: OpenAIR citation: OpenAIR takedown statement: This work is made freely available under open access. This ?????? is distributed under a CC _____ license. _____ …

Dynamic language models for hybrid speech recognition
M Georges – 2016 – scidok.sulb.uni-saarland.de
Page 1. Dynamic Language Models for Hybrid Speech Recognition Dissertation zur Erlangung des Grades des Doktors der Ingenieurwissenschaften der Naturwissenschaftlich-Technischen Fakultät II – Physik und Mechatronik – der Universität des Saarlandes von …

Automatic sarcasm detection: A survey
A Joshi, P Bhattacharyya, MJ Carman – arXiv preprint arXiv:1602.03426, 2016 – arxiv.org
… Rajadesingan et al. [2015] use extensions of words, number of flips, readability features in addition to others. Hernández-Far?as et al. [2015] present features that measure semantic relatedness between words using Wordnet-based sim- ilarity. Liu et al. …

Question Similarity Modeling with Bidirectional Long Short-Term Memory Neural Network
C An, J Huang, S Chang… – Data Science in …, 2016 – ieeexplore.ieee.org
… C. Towards a representation of idioms in WordNet[C]//Proceedings of the COLING/ACL Workshop on Usage of WordNet in Natural … Semantically conditioned lstm-based natural language generation for spoken dialogue systems[J]. arXiv preprint arXiv:1508.01745, 2015. …

40 Years of Cognitive Architectures Core Cognitive Abilities and Practical Applications
I Kotseruba, JK Tsotsos – arXiv preprint arXiv:1610.08602, 2016 – pdfs.semanticscholar.org
Page 1. arXiv:1610.08602v2 [cs.AI] 8 Sep 2017 40 Years of Cognitive Architectures Core Cognitive Abilities and Practical Applications Iuliia Kotseruba · John K. Tsotsos Abstract In this paper we present a broad overview of the last 40 years of research on cognitive architectures. …

Linguistic Linked Open Data: 12th EUROLAN 2015 Summer School and RUMOUR 2015 Workshop, Sibiu, Romania, July 13-25, 2015, Revised Selected …
D Trandab??, D Gîfu – 2016 – books.google.com
… Keywords: BabelNet · Multilinguality · Semantic networks · WordNet · LLOD · Linked Data · Linked Open Data · Knowledge acquisition 1 Outline of the Tutorial Multilinguality is a key feature of today’s world, as is also reflected on the Web, and it is this feature that we leverage in …

Improving Social Inclusion Using NLP: Tools and Resources
I Schuurman, V Vandeghinste, H Saggion – 2016 – lrec-conf.org
Page 1. LREC 2016 Workshop Improving Social Inclusion Using NLP: Tools and Resources PROCEEDINGS Edited by Ineke Schuurman, Vincent Vandeghinste, Horacio Saggion 23 May 2016 Page 2. Proceedings of the LREC …

Learning Open Domain Knowledge From Text
GG Angeli – 2016 – nlp.stanford.edu
… (2011) and Jenatton et al. (2012) on knowledge base completion based on vector-space approaches; this is subsequently extended by Chen et al. (2013) to use Neural Tensor Networks, predicting unseen relation triples in WordNet and Freebase. Yao et al. …

Computational methods in semantics
G Recski – 2016 – nytud.hu
Page 1. Computational Methods in Semantics Gábor Recski Ph.D. Dissertation Supervisor: András Kornai D.Sc. Ph.D. School of Linguistics Gábor Tolcsvai Nagy MHAS Theoretical Linguistics Ph.D Program Zoltán Bánréti C.Sc. Department of Theoretical Linguistics …

TempoWordNet: une ressource lexicale pour l’extraction d’information temporelle
M Hasanuzzaman – 2016 – tel.archives-ouvertes.fr
… 3. Le chapitre 3 se consacre à la présentation de TempoWordNet, un enrichisse- ment de la ressource lexicale WordNet avec des informations temporelles as- sociées à chacun de ses synsets (ensembles de synonymes), en s’inspirant des principes de SentiWordNet, mais …

Using linguistic knowledge for improving automatic speech recognition accuracy in air traffic control
VN Nguyen – 2016 – brage.bibsys.no
Page 1. Using Linguistic Knowledge for Improving Automatic Speech Recognition Accuracy in Air Traffic Control Master’s Thesis in Computer Science Van Nhan Nguyen May 18, 2016 Halden, Norway Page 2. Page 3. Abstract …

School of Computing
R Cruise – 2016 – vlebb.leeds.ac.uk
… 7 2.1 WordNet – a general-purpose lexical resource ….. 7 … such resources. 2.1 WordNet – a general-purpose lexical resource A much studied and utilised example of such a tool is WordNet (Fellbaum, 1998). WordNet is the product of …

A thorough comparison of NLP tools for requirements quality improvement
B Arendse – 2016 – dspace.library.uu.nl
Page 1. A thorough comparison of NLP tools for requirements quality improvement Brian Arendse 3657345 b.arendse@students.uu.nl Master Business Informatics (MBI) August 2016 1st supervisor: Dr. Fabiano Dalpiaz 2nd supervisor: Garm Lucassen, Msc Page 2. Page 3. I …

Grounding robot motion in natural language and visual perception
SA Bronikowski – 2016 – search.proquest.com
… This model captures both the nested structure and the sensedrawn from WordNet [37]of the text. When MARCO nds a word that is not already in its lexicon, it searches WordNet for a synonym or hypernym to gain the words sense. …

Metaphor: A computational perspective
T Veale, E Shutova… – Synthesis Lectures on …, 2016 – morganclaypool.com
… Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 …

Italian Studies: Language and Linguistics
S Cruschina, EM Remberger – The Year’s Work in Modern Language Studies, 2016 – JSTOR
Page 1. IX. ITALIAN STUDIES LANgUAgE AND LINgUISTIcS Silvio cruschina and Eva-Maria Remberger, University of Vienna 1. general Klump, Manuel, is the first volume of the de gruyter series Manual of Romance Languages …

Prominent feature extraction for sentiment analysis
B Agarwal, N Mittal – 2016 – Springer
… bodily manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning … Knowledge-based approaches depend on the already developed knowledge bases like SentiWordNet, WordNet, etc. …

Linked lexical knowledge bases: Foundations and applications
I Gurevych, J Eckle-Kohler… – Synthesis Lectures on …, 2016 – morganclaypool.com
… Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Page 7. v … An illustration of this fact may be found in the number of citations for the fundamental 1998 WordNet book [Fellbaum, 1998a], over 12,000 at the time of writing (according to Google Scholar), which …

1st International Workshop on Multimodal Media Data Analytics (MMDA 2016)
S Vrochidis, M Melero, L Wanner, J Grivolla, Y Estève… – ecai2016.org
Page 1. ECAI 2016, MMDA 2016 workshop, August 2016 1st International Workshop on Multimodal Media Data Analytics (MMDA 2016) The rapid advancements of digital technologies, as well as the penetration of internet and …

An Investigation into Language Model Data Augmentation for Low-Resourced STT and KWS}}
G Huang, TF da Silva, L Lamel, JL Gauvain, A Gorin… – ieeeicassp, 2016 – perso.limsi.fr
… in 19 males and 24 female healthy university students.}, keywords= {Emotion ; Physiology ; Stress} } @article {PubLIMSI-5038, author = {Apidianaki, Marianna AND Sagot, Benoît}, title = {Data-driven Synset Induction and Disambiguation for Wordnet Development}, AERES …

Generation of textual summaries at different target reading levels: summarizing line graphs for visually impaired users
PS Moraes – 2016 – search.proquest.com
Generation of textual summaries at different target reading levels: Summarizing line graphs for visually impaired users. Abstract. This work is concerned with the generation of text at different reading levels by tailoring the generated …

Automatic text and speech processing for the detection of dementia
K Fraser – 2016 – search.proquest.com
Automatic text and speech processing for the detection of dementia. Abstract. Dementia is a gradual cognitive decline that typically occurs as a consequence of neurodegenerative disease, and can result in language deficits (ie, aphasia). …