Part-of-speech Tagging & Dialog Systems 2014


Part-of-speech Tagging

Notes:

  • Part-of-speech tagger
  • POS tagger

See also:

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


[BOOK] Speech and language processing D Jurafsky, JH Martin – 2014 – cs.colorado.edu … In this text we study the vari- Dialogue system ous components that make up modern conversational agents, including language input (automatic speech recognition and natural … For example, deciding whether duck is a verb or a noun can be solved by part-of-speech tagging. … Cited by 26 Related articles All 20 versions

Adapting to personality over time: Examining the effectiveness of dialogue policy progressions in task-oriented interaction AK Vail, KE Boyer – Proceedings of the 15th Annual SIGDIAL …, 2014 – anthology.aclweb.org … adminis- tered a Big Five Inventory survey, a type of self- assessment of personality, prior to any interac- tion with the tutorial dialogue system. … The part-of-speech tagger used in this analysis was an n-gram tagger within the Natural Language Tool Kit for Python, trained on the … Cited by 8 Related articles All 9 versions

Integrating sequence information in the audio-visual detection of word prominence in a human-machine interaction scenario A Schnall, M Heckmann – Proceedings of INTERSPEECH, …, 2014 – mazsola.iit.uni-miskolc.hu … Consequently, so far it has been rarely used in spoken dialog systems [3, 4]. The reason for this might be that prosodic cues are … methods, such as the CRF have often proven to be a good choice [20], especially for sequence labeling problems, such as part-of- speech tagging. … Cited by 6 Related articles All 6 versions

Automatically identifying trouble-indicating speech behaviors in Alzheimer’s disease F Rudzicz, L Chan Currie, A Danks, T Mehta… – Proceedings of the 16th …, 2014 – dl.acm.org … This will allow us to build automated dialogue systems and assessment tools that are sensitive to confusion in people with AD. … [9] K. Toutanova, D. Klein, CD Manning, and Y. Singer. Feature-rich part-of-speech tagging with a cyclic dependency network. … Cited by 3 Related articles All 2 versions

Investigating critical speech recognition errors in spoken short messages A Pappu, T Misu, R Gupta – Proceedings of IWSDS, 2014 – uni-ulm.de … Rudnicky, A.: Integrating multiple knowledge sources for utterance-level confi- dence annotation in the cmu communicator spoken dialog system. … Owoputi, O., OConnor, B., Dyer, C., Gimpel, K., Schneider, N., Smith, NA: Improved part-of-speech tagging for online conversational … Cited by 4 Related articles All 2 versions

Patients’ involvement in e-health services quality assessment: A system for the automatic interpretation of SMS-based patients’ feedback S Rubrichi, A Battistotti, S Quaglini – Journal of biomedical informatics, 2014 – Elsevier Effective communication between patients and health services providers is a key aspect for optimizing and maintaining these services. This work describes a syst. Cited by 4 Related articles All 5 versions

The development of the multilingual luna corpus for spoken language system porting EA Stepanov, G Riccardi, AO Bayer – Proc. LREC, 2014 – sisl.disi.unitn.it … Part-of-Speech Tagging … of LUNA Corpus are aligned by dialog and utterance IDs; thus, the Multilingual LUNA Corpus con- stitutes a parallel Italian – Spanish – Turkish – Greek spo- ken dialog corpus readily available for translation and spo- ken dialog system research. … Cited by 3 Related articles All 2 versions

Microblogging as a mechanism for human–robot interaction D Bell, T Koulouri, S Lauria, RD Macredie… – Knowledge-Based …, 2014 – Elsevier … on specific tokens and token features. It may also include richer representations of context, such as part-of-speech tagging, name tagging and chunking (see, for example, Foster et al. [12]), but their implementation is problematic … Cited by 9 Related articles All 6 versions

Discovering latent structure in task-oriented dialogues K Zhai, JD Williams – Proceedings of the Association for …, 2014 – research.microsoft.com … In addition to yielding ba- sic insights into human communication, compu- tational models of conversation underpin a host of real-world applications, including interactive dialogue systems (Young, 2006), dialogue sum- marization (Murray et al., 2005; Daumé III and Marcu, 2006 … Cited by 4 Related articles All 13 versions

Acquisition and use of long-term memory for personalized dialog systems Y Kim, J Bang, J Choi, S Ryu, S Koo… – … Analyses enabling Artificial …, 2014 – Springer … Comput. Speech Lang. 24(2), 150–174 (2010) 5. Lee, C., Jung, S., Kim, S., Lee, GG: Example-based dialog modeling for practical multi- domain dialog system. Speech Commun. … 444–447 16. Ratnaparkhi, A.: A maximum entropy part-of-speech tagger. … Cited by 1 Related articles All 3 versions

Joint morphological generation and syntactic linearization L Song, Y Zhang, K Song, Q Liu – Proceedings of the Twenty- …, 2014 – researchgate.net … Recent years have witnessed a great success of joint meth- ods on natural language processing problems, such as joint chunking and part-of-speech tagging (Sutton, McCallum, and Rohanimanesh 2007), joint Chinese word segmenta- tion and part-of-speech tagging (Zhang … Cited by 4 Related articles All 3 versions

Using lexical, syntactic and semantic features for non-terminal grammar rule induction in spoken dialogue systems G Athanasopoulou, I Klasinas… – … (SLT), 2014 IEEE, 2014 – ieeexplore.ieee.org … Index Terms— spoken language understanding,grammar induction, spoken dialogue systems, grammar enhancement 1. INTRODUCTION … These features are often extracted using language-specific tools such as shallow parsers or part-of- speech taggers. … Cited by 1 Related articles

Heterogeneous networks and their applications: Scientometrics, name disambiguation, and topic modeling B King, R Jha, DR Radev – Transactions of the …, 2014 – tacl2013.cs.columbia.edu … 1 A Maximum Entropy Model for Part-of-Speech Tagging ? 9 Hermann … space classification correcting word parsing detecting MaxEnt models entropy maximum approach based attachment model models phrase prepositional disambiguation Dialogue systems dialogue spoken … Cited by 2 Related articles All 13 versions

Building A Vocabulary Self-Learning Speech Recognition System L Qin, A Rudnicky – Fifteenth Annual Conference of the …, 2014 – mazsola.iit.uni-miskolc.hu … [6] H. Sun, G. Zhang, F. Zheng, and M. Xu, “Using word con- fidence measure for OOV words detection in a spontaneous spoken dialog system,” Proc. … 2033- 2036, 2003. [25] K. Toutanova, D. Klein, C. Manning, and Y. Singer, “Feature-rich part-of-speech tagging with a cyclic … Cited by 2 Related articles All 5 versions

R-cube: a dialogue agent for Restaurant Recommendation and Reservation S Kim, RE Banchs – Asia-Pacific Signal and Information …, 2014 – ieeexplore.ieee.org … For the implementation of the three sub-systems, a multi-strategy architecture, which is depicted in Figure 1, has been adopted. Figure 1. Multi-strategy Dialogue System Architecture … This module applies lemmatization and part-of-speech tagging to the provided input. … Cited by 2 Related articles All 2 versions

Linguistic and acoustic features for automatic identification of autism spectrum disorders in children’s narrative H Tanaka, S Sakti, G Neubig, T Toda… – ACL 2014, 2014 – anthology.aclweb.org … First, we use Mecab1 for part-of- speech tagging in Japanese utterances, translate each word into English using the WWWJDIC2 dictionary, and finally … Given the results of this, we plan to move to applications in- cluding the development of dialogue systems for automatic ASD … Cited by 2 Related articles All 11 versions

Stochastic language generation in dialogue using factored language models F Mairesse, S Young – Computational Linguistics, 2014 – MIT Press … HALogen is thus domain-independent, and it was successfully ported to a specific dialogue system domain (Chambers and Allen 2004). … Bagel aims to produce natural utterances within a large dialogue system domain while minimizing the overall development effort. … Cited by 7 Related articles All 14 versions

Associating targets with SentiUnits: a step forward in sentiment analysis of Urdu text AZ Syed, M Aslam, AM Martinez-Enriquez – Artificial Intelligence Review, 2014 – Springer Page 1. Artif Intell Rev (2014) 41:535–561 DOI 10.1007/s10462-012-9322-6 Associating targets with SentiUnits: a step forward in sentiment analysis of Urdu text Afraz Z. Syed · Muhammad Aslam · Ana Maria Martinez-Enriquez … Cited by 3 Related articles All 7 versions

An Italian Multimodal Corpus: The Building Process MC Caschera, A D’Ulizia, F Ferri, P Grifoni – On the Move to Meaningful …, 2014 – Springer … Artificial Intelligence Review 36(1), 1–27 (2011) [18] Manchón, P., Pérez, G., Amores, G.: Multimodal Fusion: A New Hybrid Strategy for Dialogue Systems. … Lang. Technol., pp. 432–436 (1994) [32] Jelinek, F.: Robust part-of-speech tagging using a hidden Markov model. Comput. … Cited by 2 Related articles

Community-Based Resource Building and Data Collection K Jokinen, G Wilcock – The 4th International Workshop on Spoken …, 2014 – mica.edu.vn … Sophisticated NLP tools such as part-of-speech taggers and syntactic parsers can be used if they are available, but they are not required because the … Proceedings of the Fourth International Workshop on Spoken Dialogue Systems (IWSDS 2012), Ermenonville, France, 2012. … Cited by 2 Related articles All 5 versions

Formal description of Arabic syntactic structure in the framework of the government and binding theory H Bassam, M Asma, O Nadim, T Abeer – Computación y Sistemas, 2014 – scielo.org.mx Page 1. Formal Description of Arabic Syntactic Structure in the Framework of the Government and Binding Theory Hammo Bassam1, Moubaiddin Asma2, Obeid Nadim1, and Tuffaha Abeer1 1 KASIT, CIS Department, 2 Department … Cited by 2 Related articles All 11 versions

Training a statistical surface realiser from automatic slot labelling H Cuayáhuitl, N Dethlefs, H Hastie… – … Workshop (SLT), 2014 …, 2014 – ieeexplore.ieee.org … [29] Kristina Toutanova, Dan Klein, Christopher D. Manning, and Yoram Singer, “Feature-rich part-of-speech tagging with a cyclic … [33] Helen Hastie and et al., “Demonstration of the PARLANCE sys- tem: a data-driven incremental, spoken dialogue system for interactive search … Cited by 2 Related articles All 4 versions

Speech recognition in Alzheimer’s disease with personal assistive robots F Rudzicz, R Wang, M Begum… – Proceedings of the 5th …, 2014 – anthology.aclweb.org … This system is based on the Festival text-to-speech platform in many respects, including its use of linguistic pre- processing (eg, part-of-speech tagging) and cer- tain heuristics (eg, letter-to-sound rules). … 2005. Benefits of social intelligence in home dialogue systems. … Cited by 2 Related articles All 8 versions

CASAM: collaborative human-machine annotation of multimedia RJ Hendley, R Beale, CP Bowers… – Multimedia tools and …, 2014 – Springer Page 1. CASAM: collaborative human-machine annotation of multimedia Robert J. Hendley & Russell Beale & Chris P. Bowers & Christos Georgousopoulos & Charalampos Vassiliou & Petridis Sergios & Ralf Moeller & Eric Karstens & Dimitris Spiliotopoulos … Cited by 2 Related articles All 10 versions

A Semi-Supervised Clustering Approach for Semantic Slot Labelling H Cuayáhuitl, N Dethlefs… – Machine Learning and …, 2014 – ieeexplore.ieee.org … [29] K. Toutanova, D. Klein, CD Manning, and Y. Singer, “Feature-rich part-of-speech tagging with a … [31] Y.-N. Chen, WY Wang, and AI Rudnicky, “Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame- semantic parsing,” in ASRU, 2013. … Cited by 1 Related articles All 4 versions

Helping, I mean assessing psychiatric communication: An application of incremental self-repair detection C Howes, J Hough, MPR McCabe – dsg-bielefeld.de … Abstract Self-repair is pervasive in dialogue, and models thereof have long been a focus of research, particularly for disfluency de- tection in speech recognition and spoken dialogue systems. However, the gener- ality of such models across domains has received little attention. … Related articles All 5 versions

Building a speech repository for a Serbian LVCSR system S Suzi?, S Ostrogonac, E Pakoci, M Bojani? – Telfor Journal, 2014 – journal.telfor.rs … This work was supported by the Ministry of Education, Science and Technological Development of Serbia within the Project “Development of Dialogue Systems in Serbian and … [10] M. Se?ujski, V. Deli?, “A Software Tool for Semi-Automatic Part- of-Speech Tagging and Sentence … Related articles All 3 versions

Arabic-Malay Machine Translation Using Rule-Based Approach AJ Alsaket, MJ Ab Aziz – Journal of Computer Science, 2014 – search.proquest.com … Albared, M., N., Omar and AMJ Aziz, 2011b. Improving arabic part-of-speech tagging through morphological analysis. Proceedings of the Intelligent Information and Database Systems, Apr. … Arabic malay machine translation for a dialogue system. J. Applied Sci., 12: 1371-1377. … Cited by 1 Related articles All 2 versions

Detecting Inappropriate Clarification Requests in Spoken Dialogue Systems A Liu, R Sloan, MV Then… – … of the 15th …, 2014 – academiccommons.columbia.edu … spoken dialogue systems. Speech Communication, 45(2-3):325–341. S. Stoyanchev, A. Liu, and J. Hirschberg. 2014. To- wards natural clarification questions in dialogue sys- tems. In Proceedings of AISB2014. K. Toutanova et al. 2003. Feature-rich part-of-speech tagging with … Cited by 1 All 10 versions

A Dependency Treebank for Serbian: Initial Experiments B Jakovljevi?, A Kova?evi?, M Se?ujski… – Speech and Computer, 2014 – Springer … Keywords: Dependency parsing, dialogue systems, Serbian language. 1 Introduction … Springer (2012) 11. Se?ujski, M.: Automatic part-of-speech tagging of texts in the Serbian language. PhD the- sis, Faculty of Technical Sciences, Novi Sad, Serbia (2009) 12. … Related articles All 3 versions

Tapping into the Power of Automatic Question Generation IE Fattoh, AE Aboutabl, MH Haggag – International Journal of …, 2014 – researchgate.net … Simultaneously, there has been a strand of research on advisory dialogue systems [2]. All the previous systems were primarily aimed at responding to … In the key selection, the system first generates a list of keys using part of speech tagging (POS) then select the best key from … Related articles All 3 versions

Part-of-speech tagging in written slang V Korolainen – 2014 – jyx.jyu.fi … Page 4. LIST OF FIGURES FIGURE 1: Architecture pipeline for a Spoken Dialogue System….. 14 FIGURE 2: Part-of-Speech tagger pipeline….. 18 FIGURE 3: An example of a sentence in a Treebank ….. … Related articles

SYN! BAD: A Synonym-Based Regular Expression Extension For Knowledge Extraction Task. O ?ERBAN – Studia Universitatis Babes-Bolyai, Informatica, 2014 – search.ebscohost.com … Most of the sentence tokenization algorithms are based on regular expressions [8, 2]. Moreover, more complex tasks, such as Part- of-Speech Tagging (POS) [13] or Named Entity Recognition (NER) [10] use them … Knowledge Extraction, Dialogue Systems, Regular Expressions. … Related articles

An interactive Speech Web site in Arabic and English O Al-Dakkak, N Ghneim, I Salman – researchgate.net … A typical activity cycle in a dialog system contains the following phases [12]: I. The user speaks, and the input is converted to … text is analyzed by a Natural language understanding unit (NLU), which may include: a- Proper Name identification b- part of speech tagging c- Syntactic …

Spoken Dialogue System for Restaurant Recommendation and Reservation RE Banchs, S Kim – Fifteenth Annual Conference of the International …, 2014 – 193.6.4.39 … In the preprocessing level, some linguistic analyses including word segmentation, part-of-speech tagging, and base phrase chunking are performed by using the Stanford Core- NLP toolkit1 The integration of the multi-strategy dialogue system with the automatic speech … Related articles All 4 versions

tucSage: Grammar Rule Induction for Spoken Dialogue Systems via Probabilistic Candidate Selection A Chorianopoulou, G Athanasopoulou, E Iosif… – SemEval …, 2014 – anthology.aclweb.org … 1 Introduction A critical task for Spoken Dialogue Systems (SDS) is the understanding of the transcribed user input, that utilizes an underlying domain grammar. … Speech Communication, 48 (3), pp. 360-416. Eric Brill 1992. A simple rule-based part of speech tagger. … Related articles All 9 versions

A unified framework for translation and understanding allowing discriminative joint decoding for multilingual speech semantic interpretation B Jabaian, F Lefèvre, L Besacier – Computer Speech & Language, 2014 – Elsevier … Multilingual speech understanding; Conditional random fields; Hypothesis graphs; Statistical machine translation; Dialogue systems. … of other natural language processing tasks such as grapheme–phoneme conversion (Rama et al., 2009) or part-of-speech tagging (Gascó i … Cited by 1 Related articles All 5 versions

Framework for Data Processing A Osherenko – Social Interaction, Globalization and Computer-Aided …, 2014 – Springer … the buttons Review start the JADE environment and the generated SS system: the button Community starts a content- synchronized community (Sect. 6.3.2), the button Dialog system starts a sequential dialog system (Sect. 6.3 … Related articles

A Method for designing Dialogue Systems by using Ontologies EJ Wantroba, RAF Romero – INTERNATIONAL PROGRAM …, 2014 – researchgate.net … in Section IV), is suitable to use for receptionists systems, but can also be adapted to other dialogue systems. … detector sentences} sentence? firstSentences (userInput); {uses a tokenizer to separate words} words? tokenizer (sentence); {Part of Speech tagger classifies words … Related articles

Report on learning semantic analysis components A Vlachos, S Clark – 2014 – spacebook-project.eu … ?? is typically derived from the labels of the training instances; for example in part of speech tagging ?? would return the correct tag for each token. In addition, the learning rate ? and a CSC learner (CSCL) must be provided. … Related articles All 2 versions

A Survey of Intelligent Language Tutoring Systems M Al Emran, K Shaalan – Advances in Computing, …, 2014 – ieeexplore.ieee.org … These tasks could include but are not limited to: part of speech tagger, tokenization, segmentation, stemming and parsing. … 6. Beetle II System Beetle II system is a tutorial dialogue system that has been implemented to accept input from the learner without restrictions and to … Cited by 1 Related articles All 3 versions

A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing A Vlachos, S Clark – Transactions of the Association for …, 2014 – tacl2013.cs.columbia.edu … the task. ?? is typically derived from the gold stan- dard; eg in part of speech tagging ?? would return the correct tag for each token. In addition, the learn- ing rate ? and a CSC learner (CSCL) must be pro- vided. The algorithm … Cited by 1 Related articles All 6 versions

Adjective-Based Estimation of Short Sentence’s Impression NTT An, M Hagiwara – ep.liu.se … Here, we explain the above keywords extraction steps using an example when the input is “A lot of trees were blown down in the storms”. • Step1: Part of speech tagging: “A” and “the” appear as determines of sentence; “lot, trees, storms are nouns; blown, were are … Related articles

A Survey on Large Scale Corpora and Emotion Corpora M Ptaszynski, R Rzepka, S Oyama, M Kurihara… – Information and Media …, 2014 – jlc.jst.go.jp … sentiment analysis. Natural language corpora are crucial for training various Software Engineering applications, from part-of-speech taggers and dependency parsers to dialog systems or sentiment analysis software. We compare … Related articles All 4 versions

Language Resources and Technology in Latvia (2010–2014) I Skadi?a, I Auzi?a, G B?rzdi?š… – … : Proceedings of the …, 2014 – books.google.com … tezaurs. lv/mlvv/ 17https://github. com/pdonald/latvian# part-of-speech-tagging Page 245. … 4.8. Multimedia Novel research has been started to apply language technologies to dialog systems for smartphones. Two virtual agents are currently under development in Latvia. … Related articles All 3 versions

Cluster based Chinese Abbreviation Modeling Y Shi, YC Pan, MY Hwang – Fifteenth Annual Conference …, 2014 – mazsola.iit.uni-miskolc.hu … In some practical applications (eg dialogue systems and voice search systems), document level context information is not available. … 7] are discriminative undirected graphical models, which are widely used in NLP tasks (eg word segmentation [12] and part-of-speech tagging [13 … Related articles All 4 versions

Designing and Evaluating a Reliable Corpus of Web Genres via Crowd-Sourcing NR Asheghi, S Sharoff, K Markert – lrec-conf.org Page 1. Designing and Evaluating a Reliable Corpus of Web Genres via Crowd-Sourcing Noushin Rezapour Asheghi, Serge Sharoff, Katja Markert School of Computing, School of Modern Languages and Cultures, School of … Related articles All 2 versions

Human language technologies and Affan Oromo T Girma, SM Landage, AI Wasif, P Dhuppe… – International Journal of …, 2014 – garph.co.uk … speech technology with an overview of the attempts made on Afaan Oromo with respect to natural language processing; which include part of speech tagging, grammar checker, Parser … text data mining, question and answering, report generation, spoken dialogue systems, … Related articles All 5 versions

Amharic Anaphora Resolution Using Knowledge-Poor Approach T Dawit, Y Assabie – Advances in Natural Language Processing, 2014 – Springer … tions like information extraction, question answering, machine translation, text summarization, opinion mining, dialogue systems and many others. … Cornell University, USA (2004) (Unpublished) 3. Fissaha, S.: Part of Speech Tagging for Amharic using Conditional Random Fields … Related articles All 3 versions

An end-to-end dialog system for TV program discovery D Ramachandran, PZ Yeh, W Jarrold… – … (SLT), 2014 IEEE, 2014 – ieeexplore.ieee.org … In this paper, we presented an end-to-end dialog system for TV program discovery whose salient features include: 1) a trainable relation extraction that can capture semantic rela- tions … [4] A. Ratnaparkhi, “A maximum entropy model for part- of-speech tagging,” in EMNLP, 1996. … Cited by 2 Related articles

An Overview of Language Processing PM Nugues – Language Processing with Perl and Prolog, 2014 – Springer … 2000 ) . Conversational agents. Conversational agents are elaborate dialogue systems that have understanding faculties. … Morphological parsers use finite-state automaton techniques. Part-of-speech taggers disambiguate the possible multiple readings of a word. … Related articles All 2 versions

A Multi-source Knowledge Fusion Strategy to Improve Confidence Measure in a Lattice-based Spoken Term Detection System? X Gao, J Pan, Y Yan – joics.com … [1] F. Jur?ek, B. Thomson, S. Young, Reinforcement learning for parameter estimation in statistical spoken dialogue systems, Computer Speech & Language, 26(3), 2012, 168-192 … [14] O. Owoputi, B. O’Connor, C. Dyer et al., Improved part-of-speech tagging for online … Related articles

A Model to Incorporate Emotional Sensitivity into Human Computer Interactions S Ramnani, RP Gorthi – Proceedings of the 2014 workshop on Emotion …, 2014 – dl.acm.org … has reached, user textual input is sent to Splitter function for tokenizing the input sentence, Output of which is sent to POS (Part Of Speech) Tagger function. … [5] C. Becker et al, “Simulating the emotion dynamics of a multimodal conversational agent”.Affective Dialogue Systems. … Related articles All 2 versions

Linguistic and multilingual issues in virtual worlds and serious games: a general review S Cruz-Lara, A Denis, N Bellalem – The Journal of Virtual Worlds …, 2014 – hal.inria.fr … color represent external tools that we use associated to the emotion detection prototype (WordNet-Domains, WordNet-Affect, and part-of-speech taggers). … their experience of the content; emotion recognition (eg, for spotting angry customers in speech dialog systems); support for … Related articles All 7 versions

Context and NLP V Hung – Context in Computing, 2014 – Springer … Spatial Cognition Conference (2012) Kübler, S., Scheutz, M., Baucom, E., Israel, R.: Adding context information to part of speech tagging for dialogues … 2010) Lee, S., Noh, H., Lee, J., Lee, K., Lee, GG: Foreign language tutoring in oral conversations using spoken dialog systems. … Related articles All 3 versions

Predicting Personality Traits using Multimodal Information F Alam, G Riccardi – Proceedings of the 2014 ACM Multi Media on …, 2014 – dl.acm.org … traits in different domains and by using differ- ent modalities such as text [5], speech [2] and facial expres- sions [4]. The domains include personality of the blogger [8], dialogue system, social media … Feature-rich part-of-speech tagging with a cyclic dependency network. … Cited by 2 Related articles All 4 versions

[BOOK] Routledge Encyclopedia of Translation Technology S Chan – 2014 – books.google.com … 38 39 40 41 42 Natural language processing Olivia Kwong Oi Yee Online translation Federico Gaspari Part-of-speech tagging Felipe Sánchez … Dr Ahrenberg’s research spans several areas of NLP including dialogue systems, grammar formalisms and syntactic analysis, corpus … Cited by 1 Related articles All 2 versions

Computational Hispanic Linguistics MA Martí, M Taulé – The Routledge Handbook of Hispanic …, 2014 – books.google.com … These applications (machine translation, question answering, information extrac- tion, and dialog systems, among others) are based on an … with a modular architecture that provides a wide range of analysis tasks—morphological analysis, part-of-speech tagging, and shallow … Related articles

Personal knowledge graph population from user utterances in conversational understanding X Li, G Tur, D Hakkani-Tur, Q Li – … Technology Workshop (SLT), …, 2014 – ieeexplore.ieee.org … Intent: Get Price Slots: good: gas; cost relative: cheapest; location: (lat,long) Typically, spoken dialog queries to a dialog system may be … the state of the art approach for slot filling is framing the task as a sequence classification problem, similar to part of speech tagging or named … Cited by 1 Related articles All 6 versions

Collocation: Applications and implications. Houndmills, Basingstoke and New York: Palgrave Macmillan. ix+ … TJ Everest – International Journal of Applied Linguistics, 2014 – Wiley Online Library … The third sphere is NLP. Some tools for language analysis are listed, among them tokenisers, part-of-speech taggers, and parsers. … Tasks include dialogue systems, machine translation, information retrieval, and text-mining. … Related articles

Understanding questions and finding answers: semantic relation annotation to compute the Expected Answer Type V Petukhova – Proceedings 10th Joint ISO-ACL SIGSEM Workshop on …, 2014 – lrec-conf.org … The system has all components that any traditional dialogue system has: Automatic Speech Recog- nition (ASR) and Speech Generation (eg TTS) modules, and the Dialogue Engine. … 2003. Feature-rich part-of-speech tagging with a cyclic depen- dency network. … Related articles All 3 versions

Quality Estimation for Automatic Speech Recognition M Negri, M Turchi, JGC de Souza, D Falavigna – aclweb.org … Malte Gabsdil and Oliver Lemon. 2004. Combining acoustic and pragmatic features to predict recognition perfor- mance in spoken dialogue systems. pages 344–351. … Helmut Schmid. 1995. Improvements in Part-of-Speech Tagging with an Application to German. … Cited by 1 Related articles All 5 versions

Computational Discourse Analysis M Dascalu – Analyzing Discourse and Text Complexity for Learning …, 2014 – Springer … Once the pre-processing of a given text is completed (splitting, tokenizing, part of speech tagging, parsing, named entity recognition, co-reference resolution) (Manning and Schütze 1999), the disambiguation graph (see Figure 9) can be built in linear time (Galley and McKeown … Related articles

Social Power in Interactions V Prabhakaran – 2014 – cs.columbia.edu … For example, if a dialog system is engineered to behave appropriately given the user’s expectation of relative power, then the user may experience the interaction with the … We obtain features in this aspect through basic NLP processing (tokenization and part of speech tagging). … Related articles

The META-NET Strategic Research Agenda for Multilingual Europe 2020: An Extended Summary. G Rehm, H Uszkoreit – 2013-Paris, 2014 – lodel.irevues.inist.fr … To this group belong tools and technologies such as, among others, tokenisers, part-of-speech taggers, syntactic parsers, tools for building language models, information … Part of this layer are question answering and dialogue systems as well as email response applications. … Related articles All 3 versions

Prototypes of Social Simulation A Osherenko – Social Interaction, Globalization and Computer-Aided …, 2014 – Springer … In such cases, an SS system can be realized as a MAS—as a testbed that behaves according to a certain interaction specifica- tion, as a dialog system that implements a conversation, or as a GUI-less population (Fig. 6.7). … 6.3.3 Sequential Dialog Systems … Related articles

Automatic creation of semantic data about football transfer in sport news QM Nguyen, TD Cao, TT Nguyen – Proceedings of the 16th International …, 2014 – dl.acm.org … Smartweb System [4] is a multi-dialog system arising answers from the semantic web services. … The system builds models by identifying all the proper names in the text (using Part-of-Speech Tagger) and combines each private name with each of 58 … Related articles

From NL Preference Expressions to Comparative Preference Statements: A Preliminary Study in Eliciting Preferences for Customised Decision Support S Kaci, N Patel, V Prince – Tools with Artificial Intelligence ( …, 2014 – ieeexplore.ieee.org … We found an existing corpus, the corpus PLUS [15], that fulfils this last requirement. It is aimed at creating a human-computer written dialogue system, containing short and to the point conversation transcripts about yellow-pages directory enquiries, in a non-digital format. … Cited by 1 Related articles All 3 versions

ANA: Automated Nursing Agent K Quinn – 2014 – era.library.ualberta.ca … They provide a dialogue system which displays personal images to a senior. They listen … scribes a few of the components they use. Their Natural Language Understanding module uses a Hidden Markov Model for part of speech tagging and a named entity … Related articles All 2 versions

Knowledge Discovery Through Spoken Dialog A Pappu – 2014 – speech.cs.cmu.edu … All processes in a dialog system pipeline, such as recognition, parsing and dialog management, depend on the words in an input. … 1.1 Handling New Information Spoken Dialog Systems are challenged by misunderstandings and non- understanding errors. … Cited by 1 Related articles All 6 versions

Lexical Semantics PM Nugues – Language Processing with Perl and Prolog, 2014 – Springer … Semantic tagging applies most frequently to open-class words: nouns, verbs, adjectives, and adverbs. Compared to part-of-speech tagging, a major contrast comes from the tagset. … 3. A part-of-speech tagger annotates each word with its part of speech. … Related articles All 2 versions

Language Processing with Perl and Prolog P Nugues – Cognitive Technologies, 2014 – 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 … Related articles All 10 versions

ArabChat: an Arabic Conversational Agent M Hijjawi, Z Bandar, K Crockett… – Computer Science and …, 2014 – ieeexplore.ieee.org … language independent. In addition, PM based CAs do not require complex pre-processing stages such as “part of speech tagging” that require extra time to process and thus the PM is not expensive computationally. Consequently … Cited by 4 Related articles All 2 versions

An introduction to question answering over linked data C Unger, A Freitas, P Cimiano – Reasoning Web. Reasoning on the Web …, 2014 – Springer Page 1. An Introduction to Question Answering over Linked Data Christina Unger 1 , André Freitas 2 , and Philipp Cimiano 1 1 CITEC, Bielefeld University, Inspiration 1, 33615 Bielefeld 2 Insight, National University of Galway (NUIG), Galway Abstract. … Cited by 6 Related articles All 4 versions

Corpus Processing Tools PM Nugues – Language Processing with Perl and Prolog, 2014 – Springer … For most language analysis programs, collecting relevant corpora of texts is then a necessary step to define specifications and measure performances. Let us take the examples of part-of-speech taggers, parsers, and dialogue systems. … Cited by 1 Related articles All 2 versions

Metaphor detection with cross-lingual model transfer YTLBA Gershman, ENC Dyer – Proceedings of the Annual Meeting of …, 2014 – cs.cmu.edu … extrac- tion, machine translation, dialog systems, senti- ment analysis, and text analytics, etc.) would have access to a potentially useful high-level bit of in- formation about whether something is to be under- stood literally or not. … Cited by 1 Related articles All 13 versions

Cross-Domain and Cross-Language Porting of Shallow Parsing E Stepanov – 2014 – eprints-phd.biblio.unitn.it … source rich languages to a resource-poor languages for a variety of Natural Language Processing (NLP) tasks, including Part-of-Speech tagging, Noun … tant languages and created resources for Part-of-Speech tagging (also [75]), … Related articles

Combining multiple parallel streams for improved speech processing JTR de Sousa Miranda – 2014 – l2f.inesc-id.pt … retrieval engine to locate the most relevant documents. • Spoken dialog systems [56, 32] collaborate with a user in spoken language to complete a … In other situations, namely when the user is unfamiliar with the task at hand, or needs to have their hands free, dialog systems … Related articles

Statistical post-editing and quality estimation for machine translation systems H Bechara – 2014 – doras.dcu.ie Page 1. Statistical Post-editing and Quality Estimation for Machine Translation Systems Hanna Bechara B.Sc., BA A dissertation submitted in fulfilment of the requirements for the award of Masters by Research (M.Sc.) to the Dublin City University School of Computing … Cited by 2 Related articles All 2 versions

Statistical dialog management for health interventions U Yasavur – 2014 – digitalcommons.fiu.edu … Research endeavors on spoken dialogue systems in the 1990s and 2000s have led to the deployment of commercial spoken dialogue systems (SDS) in microdomains … based on the brief intervention counseling style via spoken dialogue systems. … Related articles All 4 versions

Realistic Dialogue Engine for Video Games CM Rose – 2014 – ir.lib.uwo.ca … invent new techniques in either field. There is already research being done on how to solve various tasks such as part-of-speech tagging and sentiment analysis. Instead, this … The types of dialogue systems used in video games could be classified into three main … Cited by 1 Related articles

Extraction of non-taxonomic relations from texts to enrich a basic ontology M Ribeiro – 2014 – fenix.tecnico.ulisboa.pt … ANNIE offers, as a module, a set of default resources (ie Document Reset, Tokeniser, Sen- tence Splitter, Part Of Speech tagger, Gazetteer, Semantic tagger, Orthomatcher and Coreferencer) that can be used in combination for NER purposes. These resources can …

[BOOK] The Oxford handbook of corpus phonology J Durand, U Gut, G Kristoffersen – 2014 – books.google.com … His research addresses both human speech processing (voice source modelling, intonation, pronunciation variation, speech pathology) and speech technology (automatic speech recognition and transcrip- tion, spoken dialogue systems, and computer-assisted language … Cited by 3 Related articles All 4 versions

[BOOK] Text Mining of Web-based Medical Content A Neustein – 2014 – books.google.com … visu- ally impaired. The author shows how this health dialogue system provides health information about lassa fever, malaria fever, typhoid fever and yellow fever to those who cannot access this information on line. The author … Related articles All 4 versions

[BOOK] Natural Language Processing with Java and LingPipe Cookbook B Baldwin, K Dayanidhi – 2014 – books.google.com … He worked on restricted domainspoken dialog systems for Tamil, Telugu, and Hindi in collaboration with IIIT, Hyderabad. … NLP conferences with over 200 citations.He has also worked on other NLPproblems: Named Entity Recognition, Part of Speech Tagging, Statistical Parsers … All 2 versions

A System for Conversational Case-Based Reasoning in Multiple-Disease Medical Diagnosis SL Follesø, O Heimark, M Ekerholt – 2014 – brage.bibsys.no … 10 2.3 Dialogue System Design . . . . . … 6 2.2 The conversational case-based reasoning process (from Gu [2006]) . 8 2.3 An example of a feature taxonomy (from Gupta [2001]) . . . 11 2.4 An example a dialogue system architecture . . . . . … Related articles All 3 versions

On the effective deployment of current machine translation technology J González Rubio – 2014 – riunet.upv.es … The goal of NLP is to accomplish human-like language processing for a broad range of tasks or ap- plications, for instance information retrieval, information extraction, question answering, summarization, machine translation, dialog systems, etc. … Cited by 1 Related articles All 2 versions

On the Effective Deployment of Current Machine Translation Technology JG Rubio – prhlt.upv.es … The goal of NLP is to accomplish human-like language processing for a broad range of tasks or ap- plications, for instance information retrieval, information extraction, question answering, summarization, machine translation, dialog systems, etc. … Related articles

Towards Modeling Collaborative Task Oriented Multimodal Human-human Dialogues L Chen – 2014 – indigo.uic.edu … xi Page 13. CHAPTER 1 INTRODUCTION A dialogue system is a computer system intended to converse with a human. The input … of communication. The most widely researched and developed dialogue systems are spoken dialogue sys- … All 3 versions

Ontology-based interpretation of natural language P Cimiano, C Unger, J McCrae – Synthesis Lectures on …, 2014 – morganclaypool.com … 2010 Page 7. v 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 Introduction … Cited by 10 Related articles All 6 versions

Detecting Sarcasm on Twitter: A Behavior Modeling Approach A Rajadesingan – 2014 – repository.asu.edu Page 1. Detecting Sarcasm on Twitter: A Behavior Modeling Approach by Ashwin Rajadesingan A Thesis Presented in Partial Fulfillment of the Requirement for the Degree Master of Science Approved September 2014 by the Graduate Supervisory Committee: … Related articles

Automated grammatical error detection for language learners C Leacock, M Chodorow, M Gamon… – Synthesis lectures on …, 2014 – morganclaypool.com … 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction … 2006]. ?ere are significantly more NLP tools, such as part-of-speech taggers and parsers, devoted to English than to other languages. Due … Cited by 20 Related articles All 4 versions

Incorporating Weak Statistics for Low-Resource Language Modeling S Novotney – 2014 – jscholarship.library.jhu.edu Page 1. Incorporating Weak Statistics for Low-Resource Language Modeling by Scott Novotney A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy. Baltimore, Maryland February, 2014 … Related articles All 2 versions

Towards an Interactive Human-Robot Relationship: Developing a Customized Robot’s Behavior to Human’s Profile ALY Amir – 2014 – pastel.archives-ouvertes.fr Page 1. Towards an Interactive Human-Robot Relationship: Developing a Customized Robot’s Behavior to Human’s Profile Amir ALY To cite this version: Amir ALY. Towards an Interactive Human-Robot Relationship: Developing … Cited by 1 Related articles All 4 versions

[BOOK] Social Interaction, Globalization and Computer-Aided Analysis: A Practical Guide to Developing Social Simulation A Osherenko – 2014 – books.google.com … 192 Appendix CA Content-Synchronized Community Template . . . . . 194 Appendix DA Sequential Dialog System Template . . . . . 199 Appendix E An Interaction-Synchronized Testbed Template . . . . . 206 Appendix FA GUI-less Population Template . . . . . … Cited by 1 Related articles All 3 versions

LRC Best Thesis Award Winner 2014 JG Rubio – localisation.ie … The goal of NLP is to accomplish human-like language processing for a broad range of tasks or ap- plications, for instance information retrieval, information extraction, question answering, summarization, machine translation, dialog systems, etc. … Related articles

Combining visual recognition and computational linguistics: linguistic knowledge for visual recognition and natural language descriptions of visual content M Rohrbach – 2014 – scidok.sulb.uni-saarland.de Page 1. Combining Visual Recognition and Computational Linguistics Linguistic Knowledge for Visual Recognition and Natural Language Descriptions of Visual Content Thesis for obtaining the title of Doctor of Engineering Science (Dr.-Ing.) … Related articles All 4 versions

Human Translation Evaluation and its Coverage by Automatic Scores M Vela, AK Schumann, A Wurm – Automatic and Manual Metrics for … – lrec-conf.org Page 25. 19 Full Papers Page 26. 20 Human Translation Evaluation and its Coverage by Automatic Scores Mihaela Vela, Anne-Kathrin Schumann, Andrea Wurm Department of Applied Linguistics, Translation and Interpreting … Cited by 2 Related articles All 3 versions

Foundations and Trends in Signal Processing L Deng, Y Dong – Signal Processing, 2014 – research.microsoft.com Page 1. the essence of knowledge FnT SIG 7:3-4 Deep Learning; Methods and Applications Li Deng and Dong Y u Foundations and Trends® in Signal Processing 7:3-4 Deep Learning Methods and Applications Li Deng and Dong Yu now now Page 2. 7.1. … Cited by 3 Related articles All 12 versions

Topical Structure in Long Informal Documents A Kazantseva – 2014 – ruor.uottawa.ca … information extraction, essay analysis and scoring, automatic assessment of coherence of text, automatic dialogue systems, etc. [Webber et al., 2012]. On the other side of the issue … In the past 20 years, part-of-speech tagging, syntactic parsing, anaphora resolution and some … Cited by 1 Related articles All 7 versions

Automatically generating reading lists JG Jardine – … of Cambridge, Computer Laboratory, Technical Report, 2014 – cl.cam.ac.uk Page 1. Technical Report Number 848 Computer Laboratory UCAM-CL-TR-848 ISSN 1476-2986 Automatically generating reading lists James G. Jardine February 2014 15 JJ Thomson Avenue Cambridge CB3 0FD United Kingdom phone +44 1223 763500 … Cited by 1 Related articles All 4 versions

Modeling language with structured penalties AK Nelakanti – 2014 – tel.archives-ouvertes.fr … interactive machines. It has applications spanning across various domains, such as dialogue systems, text generation and machine translation among others and has been studied extensively in the past decades. Among problems … Related articles All 6 versions