Part-of-speech Tagging & Dialog Systems 2017


Notes:

  • Part-of-speech tagger
  • POS tagger

Wikipedia:

See also:

100 Best GitHub: Part-of-speech Tagging | ACOPOST (A COllection of POS Taggers) | TreeTagger & Dialog Systems


Spoken language understanding for a nutrition dialogue system
M Korpusik, J Glass – IEEE/ACM Transactions on Audio …, 2017 – ieeexplore.ieee.org
… Recent work [34]–[36] has shown that using word vectors as features in classifiers can improve natural language processing performance in a variety of tasks, such as part-of- speech tagging in multiple languages [37], enriching spoken queries in dialogue systems [38], and …

A Multi-lingual evaluation of the vAssist spoken dialog system. Comparing Disco and RavenClaw
JM Olaso, P Milhorat, J Himmelsbach, J Boudy… – Dialogues with Social …, 2017 – Springer
… Scholar. 4. Brill, E.: Transformation-based error-driven learning and natural language processing: a case study in part-of-speech tagging … RLC, Kobayashi, T. (eds.) Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop, pp …

Robust dialog state tracking for large ontologies
F Dernoncourt, JY Lee, TH Bui, HH Bui – Dialogues with Social Robots, 2017 – Springer
… Yet, dialog state tracking is crucial for reliable operations of a spoken dialog system because the latter relies on the estimated dialog state to … To take into account for the part-of-speech, the tracker performs part-of-speech tagging on each utterance prior to the synonym matching …

Encoder-decoder with focus-mechanism for sequence labelling based spoken language understanding
S Zhu, K Yu – … , Speech and Signal Processing (ICASSP), 2017 …, 2017 – ieeexplore.ieee.org
… In a spoken dialogue system, the Spoken Language Under- standing (SLU) is a key component that parses user utterances into … In future, we want to investigate BLSTM-LSTM with focus mechanism to other sequence labelling tasks (eg part-of-speech tagging, named entity …

Using acoustic paralinguistic information to assess the interaction quality in speech-based systems for elderly users
H Pérez-Espinosa, J Martínez-Miranda… – International Journal of …, 2017 – Elsevier
… It contains recordings of Dutch children, non-natives, and the elderly interacting with a spoken dialogue system. The researchers used a WoZ scenario to induce the interactions. The corpus was automatically processed to obtain part-of-speech tagging and phonemic …

Recent trends in deep learning based natural language processing
T Young, D Hazarika, S Poria, E Cambria – arXiv preprint arXiv …, 2017 – arxiv.org
… White, 2014). NLP enables computers to perform a wide range of natural language related tasks at all levels, ranging from parsing and part-of-speech (POS) tagging, to machine translation and dialog systems. Deep learning …

Label-dependencies aware recurrent neural networks
Y Dupont, M Dinarelli, I Tellier – arXiv preprint arXiv:1706.01740, 2017 – arxiv.org
… word 10 Page 11. The ATIS corpus (Air Travel Information System) [26] was collected for building a spoken dialog system able to provide flight information in the United States. ATIS is a simple task dating from 1993. Training …

Natural Language Understanding (NLU, not NLP) in Cognitive Systems.
M McShane – AI Magazine, 2017 – search.ebscohost.com
… We advocated a pragmatic pivot toward simpler more solvable tasks like part of speech tagging. Data was becoming available like never before … For example, agents in dialogue systems receive one and only one formula- tion of each utterance …

Automatic chinese factual question generation
M Liu, V Rus, L Liu – IEEE Transactions on Learning …, 2017 – ieeexplore.ieee.org
… Question authoring tools are important in educational technologies, eg, intelligent tutoring systems, as well as in dialogue systems … A typical Chinese NLP system includes lexical analysis (word segmentation, part- of-speech tagging, named entity recognition) and syntactic …

Deep Learning in Natural Language Processing
L Deng, Y Liu – 2017 – pdfs.semanticscholar.org
… In closed datasets, the answer is produced based on the information provided in the dataset itself. In earlier systems a pipelined structure was used which comprised of NLP techniques like co-reference resolution, parsing, part-of-speech tagging and it was very complex …

Opinion Mining and Sentiment Analysis
E Breck, C Cardie – The Oxford Handbook of Computational …, 2017 – oxfordhandbooks.com
Opinions are ubiquitous in text, and readers of online text—from consumers to sports fans to news addicts to governments—can benefit from automatic methods that synthesize useful opinion-oriented information from the sea of data. In this chapter on opinion mining and sentiment …

A hierarchical neural model for learning sequences of dialogue acts
QH Tran, I Zukerman, G Haffari – Proceedings of the 15th Conference of …, 2017 – aclweb.org
… with their Dialogue Acts (DAs). This task is particularly useful for dialogue systems, as knowing the DA of an utterance sup- ports its interpretation, and the generation of an appropriate response. The DA classification prob- lem …

Natural language processing
K Sirts – 2017 – courses.cs.ut.ee
… Machine translation • Natural language generation • Text summarization • Dialog systems 23 Page 24. The general plan • A matrix of tasks and methods Tasks … Page 26. Word embeddings 26 Page 27. Part-?Of-?Speech tagging 27 Page 28. Morphology Inflectional morphology …

CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface
T Boro?, SD Dumitrescu, S Pipa – … of the Software Demonstrations of the …, 2017 – aclweb.org
… The text processing step (step a) is usually composed of low-level text-processing tasks such as part-of- speech tagging, lemmatization, chunking, letter- to-sound conversion, syllabification etc … A scenario is the equivalent of a frame in frame- based dialogue systems …

Modelling semantic context of oov words in large vocabulary continuous speech recognition
I Sheikh, D Fohr, I Illina… – IEEE/ACM Transactions on …, 2017 – ieeexplore.ieee.org
… 1) Pre-processing the diachronic text corpus to train context models: The TreeTagger part-of-speech tagging tool, which is reported to perform with an accuracy of 95.7% on French data [55], is used to automatically tag PNs in the text …

Systemic functional linguistics and computation: New directions, new challenges
J Bateman, D McDonald, T Hiippala… – … Handbook of Systemic …, 2017 – helsinki.fi
… This included both Terry Winograd’s SHRDLU (Winograd 1972), a land- mark natural language dialogue system that demonstrated … of ‘stemming’ – ie, removing inflectional information to reveal the basic lexical forms employed – and part of speech tagging, through intermediate …

Semantic mapping of natural language input to database entries via convolutional neural networks
M Korpusik, Z Collins, J Glass – Acoustics, Speech and Signal …, 2017 – ieeexplore.ieee.org
… [5] M. Korpusik and J. Glass, “Spoken language understanding in a nutrition dialogue system,” ASLP, Submitted … [24] C. Santos and B. Zadrozny, “Learning character-level repre- sentations for part-of-speech tagging,” in Proc. ICML, 2014, pp. 1818–1826. 5689

Natural language inference over interaction space
Y Gong, H Luo, J Zhang – arXiv preprint arXiv:1709.04348, 2017 – arxiv.org
… its introduction: machine translation(Bahdanau et al., 2014), abstractive summa- rization(Rush et al., 2015), Reading Comprehension(Hermann et al., 2015), dialog system(Mei et … Syntactical features include one-hot part-of-speech tagging feature and binary exact match feature …

Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor
R Ruede, M Müller, S Stüker, A Waibel – arXiv preprint arXiv:1706.01340, 2017 – arxiv.org
… attempt to add an emotional and social dimension to human interaction that may go beyond improving the user experience of existing dialog systems, and thus … In addition to these direct features, additional information sources like language models or part of speech tagging exist …

Natural language understanding and communication for human-robot collaboration
MI Bloch – ipvs.informatik.uni-stuttgart.de
… The aim of part-of-speech tagging is finding the most probable tags for the given tokens considering their sequence as well … Considering autonomously working robots with planning abilities, a dialog system makes these robots to co-workers instead of subordinates, as a dialog …

Detecting Dementia Through Interactive Computer Avatars
H Tanaka, H Adachi, N Ukita, M Ikeda… – IEEE journal of …, 2017 – ieeexplore.ieee.org
… Users can operate and communicate with it using speech throughout the interaction. All of the dialogue system’s utterances were created using templates … of pauses). 2) LANGUAGE FEATURES We used Mecab for part-of-speech tagging in the Japanese utterances …

Crystalnest at semeval-2017 task 4: Using sarcasm detection for enhancing sentiment classification and quantification
RK Gupta, Y Yang – Proceedings of the 11th International Workshop on …, 2017 – aclweb.org
… 2013. Improved part-of-speech tagging for online conversational text with word clusters. NAACL: HLT pages 380–390 … 2006. yeah right: sarcasm recognition for spoken dialogue systems. INTERSPEECH pages 1838–1841 …

Complementing the Execution of AI Systems with Human Computation
E Kamar, L Manikonda – AAAI Workshop on …, 2017 – pdfs.semanticscholar.org
Page 1. Complementing the Execution of AI Systems with Human Computation Ece Kamar1, Lydia Manikonda*2 1 Microsoft Research, Redmond, WA 2 Arizona State University, Tempe, AZ eckamar@microsoft.com, lmanikonda@asu.edu Abstract …

Towards a top-down policy engineering framework for attribute-based access control
M Narouei, H Khanpour, H Takabi, N Parde… – Proceedings of the …, 2017 – dl.acm.org
… systems [22, 48]. Collobert et al. proposed an approach for generating word vectors based on contextual information gained from large amounts of un- labeled text, employing convolutional neural networks (CNNs) to develop an e cient application for part-of-speech tagging …

Preserving word-level emphasis in speech-to-speech translation
QT Do, T Toda, G Neubig, S Sakti… – … /ACM Transactions on …, 2017 – ieeexplore.ieee.org
… ?}. Lafferty et al. [12] proposed the Conditional Random Field (CRF) approach for sequence labeling and showed that it outper- forms conventional HMM-based approaches for part-of-speech tagging problems. Gregory et al …

Business Applications of Deep Learning
A Vieira – Ubiquitous Machine Learning and Its Applications, 2017 – books.google.com
… used a globally normalized transition-based neural network model that achieves state-of-the-art part-of speech tagging, dependency parsing … Chatbots Chatbots, also called Conversational Agents or Dialog Systems, are algorithms designed to have human level …

Evaluating LSTM Networks, HMM and WFST in Malay Part-of-Speech Tagging
TP Tan, B Ranaivo-Malançon… – Journal of …, 2017 – journal.utem.edu.my
… Malay Part-of-Speech Tagging … Abstract—Long short term memory (LSTM) networks have been gaining popularity in modeling sequential data such as phoneme recognition, speech translation, language modeling, speech synthesis, chatbot-like dialog systems and others …

Graph Databases for Designing High-Performance Speech Recognition Grammars
M Di Maro, M Valentino, A Riccio, A Origlia – IWCS 2017—12th …, 2017 – aclweb.org
… Ontology-based dialogue systems. In Proc. 3rd Workshop on Knowledge and reasoning in practical dialogue systems (IJCAI03), pp. 9–18. Citeseer … Schmid, H. (2013). Probabilistic part-of speech tagging using decision trees. In New methods in language processing, pp. 154 …

Generating AIML Rules from Twitter Conversations
H Yamaguchi, M Mozgovoy – web-ext.u-aizu.ac.jp
… The AIML-based approach is much simpler comparing to more advanced dialog system architectures [2]. Yet rule-base systems were still able … We also use MeCab to perform a part-of- speech tagging of the input text and eliminate non-significant morphemes, such as auxiliary …

MODELING EMOTION AND MOTIVATION BASED AGENT FOR TUTORIAL DIALOGUE SYSTEM
M Asam, SA Raza – sci-int.com
… These are the salient features which distinguish a tutorial dialogue system from other systems 4. MyTutor In this work an intelligent … Perform initial perception of user Perform Part of Speech tagging in Parser Perform Necessary Analysis to find frequent items in the sentence to …

Statistical Language and Speech Processing: 5th International Conference, SLSP 2017, Le Mans, France, October 23–25, 2017, Proceedings
N Camelin, Y Estève, C Martín-Vide – 2017 – books.google.com
… Part-of-speech tagging Question-answering systems Semantic role labeling Speaker identification and verification Speech and language generation Speech recognition Speech synthesis Speech transcription Spelling correction Spoken dialogue systems Term extraction Text …

EXTRACTING NAMED ENTITIES AND RELATIONS FROM SPEECH
U Seema – 2017 – academicscience.co.in
… Relation Extraction can be effectively applied in the field of machine translation, information extraction, text summarization and dialogue systems … As with the related technology of part-of-speech tagging, most approaches to NER attempt to label each word in a sentence with …

Cassandra smart-home system description
SD Dumitrescu – Speech Technology and Human-Computer …, 2017 – ieeexplore.ieee.org
… A scenario is the equivalent of a frame in frame-based dialogue system … The text pro- cessing step (step a) is usually composed of low-level text- processing tasks such as part-of-speech tagging, lemmatiza- tion, chunking, letter-to-sound conversion, syllabification etc …

An Ensemble Model with Ranking for Social Dialogue
I Papaioannou, AC Curry, JL Part, I Shalyminov… – arXiv preprint arXiv …, 2017 – arxiv.org
Abstract: Open-domain social dialogue is one of the long-standing goals of Artificial Intelligence. This year, the Amazon Alexa Prize challenge was announced for the first time, where real customers get to rate systems developed by leading universities worldwide. The

Statistical Language and Speech Processing
N Camelin, Y Estève, C Martín-Vide – Springer
… Part-of-speech tagging Question-answering systems Semantic role labeling Speaker identification and verification Speech and language generation Speech recognition Speech synthesis Speech transcription Spelling correction Spoken dialogue systems Term extraction Text …

Using Context Information for Dialog Act Classification in DNN Framework
Y Liu, K Han, Z Tan, Y Lei – Proceedings of the 2017 Conference on …, 2017 – aclweb.org
… man conversations, as well as for developing intel- ligent human-to-computer dialog systems (either written or spoken dialogs) … BLSTM has been widely used recently for various sequence labeling problems (such as part-of-speech tagging, named entity recognition) and …

Deep Survey on Sentiment Analysis and Opinion Mining on Social Networking Sites and E-Commerce Website
P Arya, A mit Bhagat, B MANIT – International Journal of Engineering …, 2017 – ijesc.org
… Authors also evaluated the proposed framework with the UAH (Universidad Al Habla) spoken dialog system, implementing the prediction module between the systems natural language understanding module and dialog manager. 3. TEXT MINING …

Implementation of robot journalism by programming custombot using tokenization and custom tagging
N Lee, K Kim, T Yoon – Advanced Communication Technology …, 2017 – ieeexplore.ieee.org
… Semantic Role Labelling is also used for Dialogue System; it is a task which identifies sentence elements such as subject and object in each sentence [15] … Among those, tasks mainly used for this paper are text segmentation and part-of-speech tagging …

Web Application for Romanian Language Phonetic Transcription
J Domokos, ZA Szakács – MACRo 2015, 2017 – degruyter.com
… According to the authors, the service performs the following TTS specific tasks: text normalization, part-of-speech tagging, lexical stress … A. Buzo, CS Petrea, D. Ghelmez-Hane, “Spontaneous speech recognition for Romanian in spoken dialogue systems” in Proceedings of the …

Jee haan, I’d like both, por favor: Elicitation of a Code-Switched Corpus of Hindi–English and Spanish–English Human–Machine Dialog
V Ramanarayanan, D Suendermann-Oeft – Proc. Interspeech 2017, 2017 – oeft.de
… see for example [13, 14, 15]), which have in turn facilitated advances in automated processing, including part-of- speech tagging [16, 17 … or no research on the automated analysis of conversational, code-switched dialog, let alone the building of bilingual dialog systems that are …

Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text
T Shinozaki, S Watanabe, D Mochihashi… – Proc. Interspeech …, 2017 – merl.com
… of these functions by performing character recognition [1]. However, many applications including infor- mation retrieval and spoken dialog systems still require … [10] S. Goldwater and T. Griffiths, “A fully Bayesian approach to un- supervised part-of-speech tagging,” in Association …

A working, non-trivial, topically indifferent NLG System for 17 languages
R Weißgraeber, A Madsack – … of the 10th International Conference on …, 2017 – aclweb.org
… software combines NLP and data analysis features: (1) prop- erties are automatically generated from the training data; (2) part-of-speech tagging is used … 2) the current 17 lan- guages, and a wide range of topics from personal- ized communication, live dialogue systems or static …

19 Speech Synthesis: State of the Art and Challenges for the Future
K Georgila – Social Signal Processing, 2017 – books.google.com
… as an aid to people with disabilities (see Challenges for the Future), for generating the output of spoken dialogue systems (Lemon et … In order to synthesize this sentence properly, the pre-processing module first has to perform part-of-speech tagging (Toutanova et al., 2003) and …

A Bridge from the Use-Mention Distinction to Natural Language Processing
S Wilson – The Semantics and Pragmatics of Quotation, 2017 – Springer
… 3.2 and 3.3 will discuss how the detection of mentioned language can impact other automated language tasks. 3.1 Part-of-Speech Tagging and Parsing … 3.2 Dialogue Systems. A dialog system is a computer system that converses with a human via natural language …

In-the-wild chatbot corpus: from opinion analysis to interaction problem detection
I Maslowski, D Lagarde, C Clavel – pdfs.semanticscholar.org
… [8] J. Liscombe, G. Riccardi, and D. Hakkani-Tür, “Using context to improve emotion detection in spoken dialog systems,” in Ninth European Conference on Speech Communication and Technology, 2005 … [12] H. Schmid, “Probabilistic part-of-speech tagging using decision trees …

Chat-Bot For College Management System Using AI
K Bala, M Kumar, S Hulawale, S Pandita – 2017 – irjet.net
… They differ mainly from the knowledge sources, the broadness of Dialog Systems (NLDS) is an appropriate and easy way to access information … The sense of the words is found using part of speech tagging and wordnet dictionary.By Using the sentiment analysis negation level of …

A Survey of Design Techniques for Conversational Agents
K Ramesh, S Ravishankaran, A Joshi… – International Conference …, 2017 – Springer
… Each chat query is processed by performing stemming, part-of-speech tagging and named entity recognition … In: Proceedings of the 2010 Workshop on Companionable Dialogue Systems, Association for Computational Linguistics, pp. 43–48 (2010)Google Scholar. 38 …

From Shakespeare to Twitter: What are Language Styles all about?
W Xu – Proceedings of the Workshop on Stylistic Variation, 2017 – aclweb.org
… domain adaptation to historic text was also attempted by Yang and Eisenstein (2015) using feature embed- ding on the part-of-speech tagging task … Another subsequent challenge is how to transfer the subtle style differences into natural language generation and dialog systems …

CCG Supertagging via Bidirectional LSTM-CRF Neural Architecture
R Kadari, Y Zhang, W Zhang, T Liu – Neurocomputing, 2017 – Elsevier
… NLP related tasks. Deep learning approaches have been proven to be effective for many sequence labeling tasks such as part-of-speech tagging [19], named entity recognition [20] and speech recognition [21]. The power of …

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)
R Levy, L Specia – Proceedings of the 21st Conference on …, 2017 – aclweb.org
… Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Ex- ploiting Tag Dictionary Information Go Inoue … Natural Language Generation for Spoken Dialogue System using RNN Encoder-Decoder Networks Van-Khanh Tran and Le-Minh …

Natural Language Processing: State of The Art, Current Trends and Challenges
D Khurana, A Koli, K Khatter, S Singh – arXiv preprint arXiv:1708.05148, 2017 – arxiv.org
… Optical character recognition (OCR) it gives an image representing printed text, which help in determining the corresponding or related text. Part of speech tagging it describes a sentence, determines the part of speech for each word … (Fang et al. 2015 [72]) 6.6 Dialogue System …

A Semi-Supervised Approach to Detecting Stance in Tweets
A Misra, B Ecker, T Handleman, N Hahn… – arXiv preprint arXiv …, 2017 – arxiv.org
… Amita Misra, Brian Ecker, Theodore Handleman, Nicolas Hahn and Marilyn Walker Natural Language and Dialogue Systems Lab University of California, Santa Cruz 1156 N. High … 2011. Part-of-speech tagging for twit- ter: Annotation, features, and experiments …

Multiple-Weight Recurrent Neural Networks
Z Cao, L Wang, G De Melo – Proceedings of the 26th International Joint …, 2017 – ijcai.org
… term depen- dencies [Hochreiter and Schmidhuber, 1997]. For dialogue systems, contextual information and dialogue interactions be- tween speakers are important signals. Thus, several contex- tual language models have …

Cognitive Competency Assessment for Short Free Text Answer via Hybrid Approaches: Initial Findings
AFBM Nor, NAJ Abdullah, A Lajis, HM Nasir, NA Aziz – sci-int.com
… There are 4 processes in this module, they are: a) Part of Speech Tagging All text will be tagged by using Stanford Log-linear … [46] Dzikovska, M., Bell, P., Isard, A., Moore, JD Evaluating language understanding accuracy with respect to objective outcomes in a dialogue system …

An Efficient Approach for Sarcasm Recognition on Twitterusing Pattern-Based Method
K ShehlaKulsum, SG Vaidya – ijarcet.org
… 106 All Rights Reserved © 2017 IJARCET dialogue systems, opinion oriented summarization[ 16], etc.because of inability to detect sarcastic comments … These tweets are collected and processed. The NPL classifier is used to perform tokenization and part of speech tagging …

End-to-End Large Vocabulary Speech Recognition for the Serbian Language
B Popovi?, E Pakoci, D Pekar – International Conference on Speech and …, 2017 – Springer
… will be additionally exploited, by using the morphological dictionary for the Serbian language and the part-of-speech tagging (accentuation of … Science and Technological Development of the Republic of Serbia, within the project “Development of Dialogue Systems for Serbian …

Business Administration and Information Systems
RPDK Ambrosi – Data Analytics International Master – uni-hildesheim.de
… Markov Models, phrase structure grammars and dependency grammars as well as their application to part-of-speech tagging, lemmatization and … as method and tool: digital- humanities applications, Language Processing daily life tools (eg dialogue systems, correction of …

Unsupervised Segmentation of Phoneme Sequences based on Pitman-Yor Semi-Markov Model using Phoneme Length Context
R Takeda, K Komatani – Proceedings of the Eighth International Joint …, 2017 – aclweb.org
… The lexical acquisition technique is necessary in other areas, such as dialogue system that acquires knowledge through dialogue (Ono et al., 2016) … PYHSMM is an extended model of NPYLM to estimate the part-of-speech tagging of segmented words at the same time …

Character-based Embedding Models and Reranking Strategies for Understanding Natural Language Meal Descriptions
M Korpusik, Z Collins, J Glass – Proc. Interspeech 2017, 2017 – groups.csail.mit.edu
… [18] C. Santos and B. Zadrozny, “Learning character-level representa- tions for part-of-speech tagging,” in Proceedings of the 31st In … [24] M. Korpusik and J. Glass, “Spoken language understanding for a nutrition dialogue system,” IEEE Transactions on Audio, Speech, and …

Be More Eloquent, Professor ELIZA–Comparison of Utterance Generation Methods for Artificial Second Language Tutor
T Nakamura, R Rzepka, K Araki, K Inui – pdfs.semanticscholar.org
… utterances. We compared the utterances generated by our methods with those of other dialogue systems … 1.1 Traditional vs. Web-based Dialogue Systems Well-known chatbots are ELIZA [Weizenbaum, 1966] and ALICEBOT1. ELIZA …

Natural Language Processing, Moving from Rules to Data
AH Dediu, JM Matos, C Martín-Vide – International Conference on Theory …, 2017 – Springer
… http://www.computerworld.com/article/3018071/desktop-apps/review-nuance-dragon-for-windows- offers-strong-voice-recognition.html. 11. Brill, E.: Transformation-based error-driven learning and natural language processing: a case study in part-of-speech tagging. Comput …

Learning Generative End-to-end Dialog Systems with Knowledge
T Zhao – 2017 – cs.cmu.edu
… Page 2. November 21, 2017 DRAFT Keywords: dialog systems, end-to-end models, deep learning, reinforcement learn- ing, generative models, transfer learning, zero-shot learning Page 3 … Page 17. November 21, 2017 DRAFT Chapter 2 Related Work 2.1 Dialog Systems …

Named Entity Recognition with Gated Convolutional Neural Networks
C Wang, W Chen, B Xu – … and Natural Language Processing Based on …, 2017 – Springer
… NER is also a popular NLP task and plays a vital role for downstream systems, such as machine translation systems and dialogue systems … dos Santos, CN, Zadrozny, B.: Learning character-level representations for part-of-speech tagging. In: ICML, pp …

Shallow PARsing and Knowledge extraction for Language Engineering
I Annex – cogsci.ed.ac.uk
… The speech dialogue system, developed by Daimler Benz for German, will also make use of sparkle’s parsers and lexica to generate a probabilistic language model for speech recognition. 1.2 Participant Summary Short Name Participant full name Country code Role …

Science Driven Innovations Powering Mobile Product: Cloud AI vs. Device AI Solutions on Smart Device
D Kong – arXiv preprint arXiv:1711.07580, 2017 – arxiv.org
… best overall system performance. – Personal Assistant Engine on Mobile Device ? Dialog System ? Speech recognition ? Speech synthesis ? NLP understanding ? Chatbot ? Recommender system We provide scientific leaderships …

Chatbots for troubleshooting: A survey
C Thorne – Language and Linguistics Compass, 2017 – Wiley Online Library
… Last, but not least, to support NLU and NLG, text-based dialog systems and chatbots alike tend to leverage NLP techniques and resources to … Morphological and syntactic annotation to prepossess text input (lemmatization, part-of-speech tagging, and dependency parsing) …

Towards Building a Shallow Parsing Pipeline for English-Telugu Code Mixed Social Media Data
K Nelakuditi – 2017 – web2py.iiit.ac.in
… Normalization is the process of translating the data into the standard form. Part-of-Speech Tagging is a primary and an important step for many Natural Language Processing Applications … 44 9.1 Part-of-Speech Tagging for Code mixed English-Telugu Social media data …

UB at the NTCIR-13 STC-2 Task: Exploring Syntactic Similarities and Sentiments
J Wang – research.nii.ac.jp
… with task-oriented dialogue systems in constrained domains, there remain ma- jor problems with open domain dialogue systems, largely because of … of “energetic.” Since our techniques did not apply any sort of word sense disambiguation or part-of-speech tagging, the comment …

Tag Me a Label with Multi-arm: Active Learning for Telugu Sentiment Analysis
SS Mukku, SR Oota, R Mamidi – … Conference on Big Data Analytics and …, 2017 – Springer
… There are many popular approaches like named entity recognition (NER), word sense disambiguation, part-of-speech tagging developed for resource poor languages … [13] developed a dialogue system for Telugu, a resource-poor language …

A Survey of Design Techniques for Conversational Agents
K Chandrasekaran – … Conference, ICICCT 2017, New Delhi, India …, 2017 – books.google.com
… Each chat query is processed by performing stemming, part-of-speech tagging and named entity recognition … In: Proceedings of the 2010 Workshop on Companionable Dialogue Systems, Association for Computational Linguistics, pp. 43–48 (2010) Wilcox, B.:(2014) …

L2 Exposure Environment, Teaching Skills, and Beliefs about Learners’ Out-of-Class Learning: A Survey on Teachers of English as a Foreign Language
S Susilo – Language, 2017 – waset.org
… Thus, SRL can answer on key questions such as ‘Who’, ‘When’, ‘What’, ‘Where’ in a text and it is widely applied in dialog systems, question-answering, named entity recognition, information retrieval, and other fields of NLP … 672. 61160. Part of Speech Tagging Using Statistical …

Classification-based spoken text selection for LVCSR language modeling
V Chunwijitra, C Wutiwiwatchai – EURASIP …, 2017 – asmp-eurasipjournals.springeropen …
Skip to main content …

I Probe, Therefore I Am: Designing a Virtual Journalist with Human Emotions
KK Bowden, T Nilsson, CP Spencer, K Cengiz… – arXiv preprint arXiv …, 2017 – arxiv.org
… [13] K. Toutanova, D. Klein, and C. Manning, “Feature-rich part-of-speech tagging with a cyclic dependency network,” pp. 252–259, 2003. [14] M. ter Maat and D. Heylen, “Flipper: An information state component for spoken dialogue systems,” in International Workshop on …

College of Natural Sciences
DT Habte – 2017 – etd.aau.edu.et
… 56 List of Figures Figure 2.1: General Architecture of a Text-based Dialogue Systems ….. 14 Figure … 35 Algorithm 4.3: A Part of Speech Tagging ….. 36 Algorithm …

Linguistic Repetitions, Task-based Experience and A Proxy Measure of Mutual Understanding
J Reverdy, C Vogel – tara.tcd.ie
… Further exploration is needed to establish repetition’s relevance in other languages and possible application to computer-mediated interactions and dialogue systems … 41–58, 1975. [24] H. Schmid, “Probablistic part-of-speech tagging using decision trees,” in Proceedings of The …

Multi-sense based neural machine translation
Z Yang, W Chen, F Wang, B Xu – Neural Networks (IJCNN) …, 2017 – ieeexplore.ieee.org
… The newly-emerged multi- sense representation gets increasing interests in NLP area and it has been tested on some NLP tasks, namely artificial word similarity, part of speech tagging, name entity recognition tagging and sentiment analysis [10], [11], [12], [13] …

Sentence?Chain Based Seq2seq Model for Corpus Expansion
E Chung, JG Park – ETRI Journal, 2017 – Wiley Online Library
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A Complete Bibliography of ACM Transactions on Asian Language Information Processing
NHF Beebe – 2017 – tug.ctan.org
… Comparison of three machine-learning methods for Thai part-of-speech tagging. ACM Trans- actions on Asian Language Information Processing, 1(2):145–158, June 2002. CODEN … Resolution of referring expressions in a Korean multimodal dialogue system …

A Hybrid Architecture for Multi-Party Conversational Systems
MG de Bayser, P Cavalin, R Souza, A Braz… – arXiv preprint arXiv …, 2017 – arxiv.org
… Page 2. Turing’s test. Some of them have won prizes, some not [5]. Although in this paper we do not focus on creating a solution that is able to build conversational systems that pass the Turing’s test, we focus on Natural Dialogue Systems (NDS) …

Neural Text Generation: A Practical Guide
Z Xie – arXiv preprint arXiv:1711.09534, 2017 – arxiv.org
… While we could also include sequence labeling (for example part-of-speech tagging) as another task, we instead 6 Page 7. Task X (example) Y (example) language modeling none (empty sequence) tokens from news corpus machine translation source sequence in English …

Novel Methods for Natural Language Generation in Spoken Dialogue Systems
O Dušek – 2017 – dspace.cuni.cz
… Ond?ej Dušek Novel Methods for Natural Language Generation in Spoken Dialogue Systems Institute of Formal and Applied Linguistics Supervisor: Ing … iii Page 4. Page 5. Title: Novel Methods for Natural Language Generation in Spoken Dialogue Systems Author: Ond?ej Dušek …

Utilizing bots in delivering content from Kentico Cloud and Kentico EMS
A Eikonsalo – 2017 – tampub.uta.fi
… She ex- plains that part-of-speech tagging can consist of, for example, identifying the word class, such as a noun, a verb, or an adjective, inflections, and lemma of … For the dialog system to understand the user input also syntactic and semantic parsing is carried out …

EEG: Knowledge Base for Event Evolutionary Principles and Patterns
Z Li, S Zhao, X Ding, T Liu – Chinese National Conference on Social Media …, 2017 – Springer
… are of great value and important for many tasks, such as event prediction, decision-making and scenario design of dialog system … After cleaning the data, a series of natural language processing steps including segmentation, part-of-speech tagging, and dependency parsing are …

Cross-language transfer of semantic annotation via targeted crowdsourcing: task design and evaluation
EA Stepanov, SA Chowdhury, AO Bayer… – Language Resources …, 2017 – Springer
… Researchers and designers of spoken dialog systems have proposed semantic grammars to address the spoken language understanding (SLU … (2001) transferred annotations from English to close and distant languages and created resources for part-of-speech tagging (Xi and …

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
M Palmer, R Hwa, S Riedel – Proceedings of the 2017 Conference on …, 2017 – aclweb.org
Page 1. EMNLP 2017 The Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference September 9-11, 2017 Copenhagen, Denmark Page 2. c?2017 The Association for Computational Linguistics …

Investigating online literacy among undergraduates in Malaysia
VCP Wei – World Academy of Science, Engineering and …, 2017 – waset.org
… etc.). Thus, SRL can answer on key questions such as ‘Who’, ‘When’, ‘What’, ‘Where’ in a text and it is widely applied in dialog systems, question-answering, named entity recognition, information retrieval, and other fields of NLP …

Modeling Target-Side Inflection in Neural Machine Translation
A Tamchyna, MWD Marco, A Fraser – arXiv preprint arXiv:1707.06012, 2017 – arxiv.org
Page 1. Modeling Target-Side Inflection in Neural Machine Translation Aleš Tamchyna1,2 and Marion Weller-Di Marco1,3 and Alexander Fraser1 1LMU Munich, 2Memsource, 3University of Stuttgart ales.tamchyna@memsource …

COGNIMUSE: a multimodal video database annotated with saliency, events, semantics and emotion with application to summarization
A Zlatintsi, P Koutras, G Evangelopoulos… – EURASIP Journal on …, 2017 – Springer
Research related to computational modeling for machine-based understanding requires ground truth data for training, content analysis, and evaluation. In this paper, we present a multimodal video datab.

Emotion detection: a technology review
JM Garcia-Garcia, VMR Penichet… – Proceedings of the XVIII …, 2017 – dl.acm.org
… There is still a model that needs to be trained, but now text must be processed in order to use it to train a model [7]. This processing involves tasks of tokenization, parsing and part-of-speech tagging, lemmatization, stemming, among others …

Domain Transfer for Deep Natural Language Generation from Abstract Meaning Representations
N Dethlefs – IEEE Computational Intelligence Magazine, 2017 – ieeexplore.ieee.org
Page 1. 18 IEEE ComputatIonal IntEllIgEnCE magazInE | august 2017 1556-603x/17© 2017IEEE Digital Object Identifier 10.1109/MCI.2017.2708558 Date of publication: 19 July 2017 Abstract—Stochastic natural language generation …

Emotion Recognition: A Literature Survey
S Goyal, N Tiwari – International Journal For Technological Research In … – ijtre.com
… Goal: artificial intelligence, robotics, psychology blogs, product reviews, CRM and service oriented companies, customer emotion. Applications: automatic answering systems, dialogue systems, and human like robots. Multi- Language Text …

Transition-Based Technique for Syntactic Linearization and Deep Input Linearization
RS Puduppully – 2017 – web2py.iiit.ac.in
Page 1. Transition-Based Technique for Syntactic Linearization and Deep Input Linearization Thesis submitted in partial fulfillment of the requirements for the degree of MS by Research in Computer Science by Ratish Surendran Puduppully 201407662 …

Artificial cognition for social human–robot interaction: An implementation
S Lemaignan, M Warnier, EA Sisbot, A Clodic… – Artificial Intelligence, 2017 – Elsevier
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Sabbiu Shah (070/BCT/531) Sagar Adhikari (070/BCT/533) Samip Subedi (070/BCT/536)
U Chalise – 2017 – researchgate.net
… Chatterbots are typically used in dialog systems for various practical purposes including customer service or information acquisition … existing hand-written rules. However, part-of-speech tagging introduced the use of hidden …

Identifying and avoiding confusion in dialogue with people with alzheimer’s disease
H Chinaei, LC Currie, A Danks, H Lin, T Mehta… – Computational …, 2017 – MIT Press
… interaction. Given that 33% of conversations with people with middle-stage AD involve a breakdown in communication, it is vital that automated dialogue systems be able to identify those breakdowns and, if possible, avoid them …

Towards the Implementation of an Intelligent Software Agent for the Elderly
AHF Dinevari – 2017 – era.library.ualberta.ca
Page 1. Towards the Implementation of an Intelligent Software Agent for the Elderly by Amir Hossein Faghih Dinevari A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science Department of Computing Science University of Alberta …

Discourse Processing in Technology-Mediated Environments
D Gergle – The Routledge Handbook of Discourse Processes, 2017 – books.google.com
… In other words, a mutually beneficial synergy exists whereby computational modeling and technological development can both benefit from, and lead to deeper understanding of, discourse processes. Consider interactive spoken dialogue systems as an example …

Transforming unstructured natural language descriptions into measurable process performance indicators using Hidden Markov Models
H van der Aa, H Leopold, A Del-Río-Ortega… – Information Systems, 2017 – Elsevier
… variety of contexts. A major application area for these techniques is spoken language understanding, where information is extracted from unstructured natural language text in the context of a dialog system [32]. To achieve this …

EVALITA Goes Social: Tasks, Data
B Pierpaolo, N Malvina, S Rachele… – ITALIAN JOURNAL OF …, 2017 – iris.unito.it
Page 1. Volume 3, Number 1 june 2017 Emerging Topics at the Third Italian Conference on Computational Linguistics and EVALITA 2016 IJCoL Italian Journal Rivista Italiana of Computational Linguistics di Linguistica Computazionale ccademia university press aA Page …

Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules
I Vuli?, N Mrkši?, R Reichart, DÓ Séaghdha… – arXiv preprint arXiv …, 2017 – arxiv.org
… 2Representation models that do not distinguish between synonyms and antonyms may have grave implications in down- stream language understanding applications such as spoken dialogue systems: a user looking for ‘an affordable Chinese restaurant in west Cambridge …

Learning Algorithms for Broad-Coverage Semantic Parsing
S Swayamdipta – 2017 – cs.cmu.edu
Page 1. Learning Algorithms for Broad-Coverage Semantic Parsing Swabha Swayamdipta September 2017 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Thesis Committee: Noah A. Smith, Chair …

Community Standards for Linguistically-Annotated Resources
N Ide, N Calzolari, J Eckle-Kohler, D Gibbon… – Handbook of Linguistic …, 2017 – Springer
This chapter provides a broad overview of the state-of-the-art in standards development for language resources, beginning with a brief historical overview to serve as context. It describes in some det.

Neural network methods for natural language processing
Y Goldberg – Synthesis Lectures on Human Language …, 2017 – 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 …

A study on integrating distinct classifiers with bidirectional LSTM for Slot Filling task
KP Do – 2017 – dspace.jaist.ac.jp
Page 1. Japan Advanced Institute of Science and Technology JAIST Repository https://dspace.jaist.ac.jp/ Title A study on integrating distinct classifiers with bidirectional LSTM for Slot Filling task Author(s) Do, Khac Phong Citation Issue Date 2017-03 Type Thesis or …

Structured learning for spoken language understanding in human-robot interaction
E Bastianelli, G Castellucci, D Croce… – … Journal of Robotics …, 2017 – journals.sagepub.com
Robots are slowly becoming a part of everyday life, being marketed for commercial applications such as telepresence, cleaning or entertainment. Thus, the abilit…

Subjective Text Mining for Arabic Social Media
NFB Hathlian, AM Hafez – … Journal on Semantic Web and Information …, 2017 – igi-global.com
… 1114-1119). IEEE. Gimpel, K., Schneider, N., O’Connor, B., Das, D., Mills, D., Eisenstein, J., … & Smith, NA (2011). Part-of- speech tagging for twitter: Annotation, features, and experiments … An Arabic Stemming Approach using Machine Learning with Arabic Dialogue System …

Statistical Language Models applied to News Generation
JRP Soares – 2017 – repositorio-aberto.up.pt
Page 1. FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO Statistical Language Models applied to News Generation João Ricardo Pintas Soares Mestrado Integrado em Engenharia Informática e Computação Supervisor: Prof. Sérgio Sobral Nunes July 24, 2017 …

Design and development of a cognitive assistant for the architecting of earth observing satellites
A Virós Martin – 2017 – upcommons.upc.edu
Page 1. DDC AAE OS by Antoni Virós Martin September 2017 Submitted to the faculty of the Barcelona School of Informatics (FIB) of Universitat Politècnica de Catalunya (UPC) – BarcelonaTech in Partial Fulfillment of the Requirements for the …

Machine Translation Using Semantic Web Technologies: A Survey
D Moussallem, M Wauer, ACN Ngomo – arXiv preprint arXiv:1711.09476, 2017 – arxiv.org
… The Syntax-based approach uses part-of-speech tagging, which is responsible for decreasing structural problems while Tree- based models attempt to resolve the reordering problem using dependency parsing trees between languages …

Multimodal Analysis of User-Generated Multimedia Content
R Shah, R Zimmermann – 2017 – Springer
… Examples of the second domain will include, but not limited to: computational and psychological models of emotions, bodily manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning …

Deep Memory Networks for Natural Conversations
??? – 2017 – s-space.snu.ac.kr
… recognition (Passos et al., 2014) (NER) (What are the named entity tags in this sentence?) or part-of-speech tagging (POS) (What are the part-of-speech tags?); classification problems like sentiment analysis (Socher et al., 2013) (What is the …

Theory and Applications of Models of Computation
TV Gopal, G Jäger, S Steila – 2017 – Springer
Page 1. TV Gopal Gerhard Jäger Silvia Steila (Eds.) 123 LNCS 10185 14th Annual Conference, TAMC 2017 Bern, Switzerland, April 20–22, 2017 Proceedings Theory and Applications of Models of Computation Page 2. Lecture Notes in Computer Science 10185 …

Natural Language Processing for Social Media
A Farzindar, D Inkpen – Synthesis Lectures on Human …, 2017 – 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 …

Computational Linguistic Creativity: Poetry generation given visual input
M Loller-Andersen – 2017 – brage.bibsys.no
… And if so, do you split on the hyphen? Part-of-Speech Tagging When a text is tokenized, another important NLP task is to part-of-speech (POS) tag tokens. POS-tagging is the act of assigning part-of-speech tags (eg verbs and nouns) to each token of a sentence …

Developing Semantic Role Labeler for Hindi and Urdu
MA Nomani – 2017 – web2py.iiit.ac.in
… for auto- matic dependency parsing of Indian languages like Hindi, different linguistic phenomenon like POS (part of speech) tagging, morph, chunk … usefulness in several NLP applications like machine translation, semantic role labeling, discourse analysis and dialogue systems …

Neural machine translation and sequence-to-sequence models: A tutorial
G Neubig – arXiv preprint arXiv:1703.01619, 2017 – arxiv.org
Page 1. Neural Machine Translation and Sequence-to-sequence Models: A Tutorial Graham Neubig Language Technologies Institute, Carnegie Mellon University 1 Introduction This tutorial introduces a new and powerful set …

Propositional Knowledge: Acquisition and Application to Syntactic and Semantic Parsing
B Cabaleiro Barciela – 2017 – e-spacio.uned.es
Page 1. Thesis for the Degree of Doctor of Philosophy 2017 Propositional Knowledge: Acquisition and Application to Syntactic and Semantic Parsing Bernardo Cabaleiro Barciela University Master’s Degree in Languages and Computer Systems (National Distance Education …

From Natural
I Pogrebezky – 2017 – idc.ac.il
… SE researchers often use existing off-the shelf natural language processing tools (for example — us- ing part-of-speech tagging to determine nouns as possible objects) and ap- ply additional transformations on their output to map them to executable code …

Neural Logic Framework for Digital Assistants
N Cingillioglu, A Russo, K Broda – 2017 – imperial.ac.uk
Page 1. MEng Individual Project Imperial College London Department of Computing Neural Logic Framework for Digital Assistants Author: Nuri Cingillioglu Supervisor: Prof. Alessandra Russo Second Marker: Dr. Krysia Broda June 16, 2017 Page 2. Abstract …

Automatic Text Simplification
H Saggion – Synthesis Lectures on Human Language …, 2017 – 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 …

Helping users learn about social processes while learning from users: developing a positive feedback in social computing
VSS Pillutla – 2017 – search.proquest.com
… 2: CandidateW ords ; 3: for s 2 S do. 4: for w 2 s do. 5: if POS(w) is Noun then . If Part-of-speech tagging identifies w as a noun. 6: CandidateW ords CandidateW ords [ fwg. . Assume that CandidateWords can be indexed from 0 to n. 7: chains ; 8: for i 2 [0; n] do …

Painting Pictures with Words-From Theory to System
R Coyne – 2017 – search.proquest.com
… Ulysse [Godreaux et al., 1999] is an interactive spoken dialog system used to navigate in virtual worlds … In order to extract accident semantics from real-world text, the system does part-of-speech tagging, segment segmentation, and detection of noun groups and clause …

Learning from Temporally-Structured Human Activities Data
ZC Lipton – 2017 – search.proquest.com
… 131. 8.1 Introduction . . . . . 131. 8.2 Task-completion dialogue systems . . . . . 133. viii. 8.2.1 Dialog-acts … (black). . . . 128. Figure 8.1: Components of a dialogue system . . . . . 134 …

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