Named-Entity Recognition & Dialog Systems 2015


Named-entity Recognition 

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Named-Entity Recognition & Dialog Systems 2014


Creating a virtual neighbor C Corbin, F Morbini, D Traum – … Dialog Systems and Intelligent Assistants, 2015 – Springer … 19.2 Related Work There are a number of dialogue systems that provide directory assistance infor- mation, for example Yoshioka et al. (1994), Seide and Kellner (1997), Buntschuh et al. (1998), de Córdoba et al. … Fig. 19.3 Dialogue with named entity recognition and generation … Cited by 4 Related articles All 7 versions

[BOOK] Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB … C Biemann, S Handschuh, A Freitas, F Meziane… – 2015 – books.google.com … extraction, event extraction and named entity recognition, multi- lingual alignment and translation, sentiment detection and user-generated content pro- cessing, indexing and the lexicon, query processing, question answering, speech processing, and dialog systems. … Cited by 2 Related articles

A survey of available corpora for building data-driven dialogue systems IV Serban, R Lowe, L Charlin, J Pineau – arXiv preprint arXiv:1512.05742, 2015 – arxiv.org Page 1. A Survey of Available Corpora For Building Data-Driven Dialogue Systems Iulian Vlad Serban … In the area of dialogue systems, the trend is less obvious, and most practical systems are still built through significant engineering and expert knowledge. … Cited by 8 Related articles All 2 versions

Exploiting knowledge base to generate responses for natural language dialog listening agents S Han, J Bang, S Ryu, GG Lee – 16th Annual Meeting of the Special …, 2015 – aclweb.org … 2.2 ELIZA & Counseling Dialog System ELIZA (Weizenbaum, 1966) is a natural lan- guage conversation program that interacts with 129 … The natural language understanding module includes user intention detection, triple extraction, and named entity recognition module. … Cited by 1 Related articles All 9 versions

Combining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognition Y Zhou, Q Hu, J Liu, Y Jia – Neurocomputing, 2015 – Elsevier … meaning. While in the dialogue system, speech act is evolved into DA. … thereof. Besides, our recent research results show that the accent of an utterance is also essential to determine the DA tags in a Chinese dialogue system [17]. … Cited by 4 Related articles All 3 versions

Big Data–Driven Natural Language–Processing Research and Applications V Gudivada, D Rao, V Raghavan – Big Data Analytics, 2015 – books.google.com … are used in other tasks such as co-reference resolution, word-sense disambiguation, semantic parsing, question answering, dialog systems, textual entailment … Parse trees are used in other tasks such as named entity recognition, information extraction, and machine translation. … Cited by 3 Related articles

Automatic Speech Recognition-A Literature Survey on Indian languages and Ground Work for Isolated Kannada Digit Recognition using MFCC and ANN SB Harisha, S Amarappa, DSV Sathyanarayana – International Journal of … – eslibrary.org … (2006) [108] presented an inexpensive approach for gathering the linguistic resources needed to power a simple spoken dialog system. … In Kannada Natural Language processing (NLP) some works are reported on Named Entity Recognition (NER) [132], Parts of Speech Tagger … Cited by 2 Related articles All 2 versions

Spoken language understanding in a nutrition dialogue system MB Korpusik – 2015 – dspace.mit.edu Page 1. Spoken Language Understanding in a Nutrition ARCVES Dialogue System by Mandy B. Korpusik … the lack of a specific nutrient. 1.1 Dialogue Systems Spoken dialogue systems like this one have become increasingly prevalent in today’s … Cited by 3 Related articles All 3 versions

Bridging gaps between planning and open-domain spoken dialogues K Jokinen – Language Production, Cognition, and the Lexicon, 2015 – Springer … listening” that combine anticipated progress in open vocabulary speech recognition with recent developments in named entity recognition, where Wikipedia … and open-domain listening will be combined in a new generation of web-based open-domain spoken dialogue systems. … Cited by 1 Related articles All 3 versions

Weakly supervised slot tagging with partially labeled sequences from web search click logs YB Kim, M Jeong, K Stratos… – Proceedings of the …, 2015 – msr-waypoint.com … Our main contribution is to leverage search log data to improve slot tagging in spoken dialogue systems. … These approaches rely on named entity recognition as a pre-processing step to identify text spans corre- sponding to candidate slot values. … Cited by 4 Related articles All 12 versions

Semi-Supervised Approach to Named Entity Recognition in Spanish Applied to a Real-World Conversational System SS Bojórquez, VM González – … , Mexico City, Mexico, June 24-27, …, 2015 – books.google.com … edu 3 BlueMessaging, Ibsen 40, Segundo Piso Col. Polanco, Del. Miguel, Mexico City, Mexico info@ bluemessaging Abstract. In this paper, we improve the named-entity recognition (NER) capabilities for an already existing text-based dialog system (TDS) in Spanish. … Related articles

Semi-Supervised Approach to Named Entity Recognition in Spanish Applied to a Real-World Conversational System VR Martínez, LE Pérez, F Iacobelli… – Mexican Conference on …, 2015 – Springer … 10.1007/978-3-319-19264-2_22. Copyright information. Abstract. In this paper, we improve the named-entity recognition (NER) capabilities for an already existing text-based dialog system (TDS) in Spanish. Our solution is twofold … Related articles All 2 versions

A TV Program Discovery Dialog System Using Recommendations D Ramachandran, M Fanty, R Provine, PZ Yeh… – 16th Annual Meeting of …, 2015 – aclweb.org … Many features of the dialog system have been demonstrated in an earlier prototype (Ramachan- dran et al., 2014), including the use of trained Named Entity Recognition and Relation Extrac- tion models for input processing, Belief Tracking and Dialog Management algorithms … Related articles All 9 versions

NADIA: A Simplified Approach Towards the Development of Natural Dialogue Systems MM Berg – International Conference on Applications of Natural …, 2015 – Springer … It is not possible to integrate any form of parsing, chunking, named entity recognition or anaphora resolution. … The intention of the XML-based AIML is not the creation of IVR systems, but instead the development of text-based dialogue systems. … Related articles All 4 versions

A Simultaneous Recognition Framework for the Spoken Language Understanding Module of Intelligent Personal Assistant Software on Smart Phones C Lee, Y Ko, J Seo – Volume 2: Short Papers – anthology.aclweb.org … In addition, since the SLU module in the previous dialogue systems has a complicated architecture that is composes of many sub … Each component of the proposed SLU module has different recognition unit, eg the named entity recognition is based on a morpheme/phrase unit … Related articles All 10 versions

[BOOK] Statistical Language and Speech Processing: Third International Conference, SLSP 2015, Budapest, Hungary, November 24-26, 2015, Proceedings AH Dediu, C Martín-Vide, K Vicsi – 2015 – books.google.com … and verification; speech and language generation; speech recognition; speech synthesis; speech transcription; spelling correction; spoken dialogue systems; term extraction … Consider this sentence in the context of a Named Entity Recognition task: Loc A shipload of 12 tonnes of …

[BOOK] Text, Speech, and Dialogue: 18th International Conference, TSD 2015, Pilsen, Czech Republic, September 14-17, 2015, Proceedings P Král, V Matoušek – 2015 – books.google.com … One of the ambitions of the conference is, as its title says, not only to deal with dialogue systems but also to improve … Taishi Murakami, Yoshiaki Kurosawa, Yuri Kurashita, Kazuya Mera, and Toshiaki Takezawa Segment Representations in Named Entity Recognition….. …

Natural Language Processing and Information Systems C Biemann, S Handschuh, A Freitas, F Meziane… – Springer … extraction, event extraction and named entity recognition, multi- lingual alignment and translation, sentiment detection and user-generated content pro- cessing, indexing and the lexicon, query processing, question answering, speech processing, and dialog systems. …

Towards computer-assisted language learning with robots, wikipedia and CogInfoCom G Wilcock, S Yamamoto – … (CogInfoCom), 2015 6th IEEE …, 2015 – ieeexplore.ieee.org … The dialogue system described in [26] performed the functions of a city sightseeing guide and was based on a finite set of preselected texts. … In order to do this, we take advantage of recent developments in named entity recognition. … Related articles

How to evaluate ASR errors impact on NER? MAB Jannet, O Galibert, M Adda-Decker, S Rosset – errare2015.racai.ro … cations such as speech-to-speech translation, spoken informa- tion retrieval or spoken language dialog systems. … introduce, in Section 5, a new metric, Automatic Transcription Evaluation for Named Entities (ATENE), to eval- uate ASR in the context of named entity recognition. … Related articles

Sequential Data Based on Word Representations and Conditional Random Fields X Wang, B Xu, C Li, W Ge – International Journal of Machine …, 2015 – search.proquest.com … [21] and have been applied in NLP tasks such as word representation learning, named entity recognition, disambiguation, parsing … Her research interests include pattern recognition, neural networks, machine learning, natural language processing, and spoken dialog systems. … Related articles All 3 versions

Building an English-Filipino Tourism Corpus and Lexicon for an ASEAN Language Translation System CS Ponay, CK Cheng – academia.edu … Named-entity recognition in Filipino This corpus is annotated with 15 different kinds of named-entities … contains information about different festivals and events, profiles of provinces and tourist attractions in the Philippines, one can use this data to build a dialogue system that … Related articles All 2 versions

A Complete Bibliography of ACM Transactions on Speech and Language Processing (TSLP) NHF Beebe – 2015 – tug.ctan.org … Relation extraction and the in- fluence of automatic named- entity recognition. ACM Trans- actions on Speech and Language Processing (TSLP), 5(1):2:1– 2:26, December 2007. CODEN ???? ISSN 1550-4875. … Evaluating dis- course understanding in spoken dialogue systems. … Related articles All 10 versions

Global Journal on Technology M Bilgin, MF Amasyal? – 2015 – ce.yildiz.edu.tr … To semantic role labeling; it leads to work more correctly in language natural process problems as data extraction, dialogue systems, text classification, text comprehension. … [8] Özkaya, S.,& Diri, B., “Named Entity Recognition by Conditional Random Fields from Turkish informal … Related articles

Answer Extraction for Question Answering Game Application DD Putra, V Petukhova, D Klakow – ltc.amu.edu.pl … We aim at building an end-to-end Question Answer- ing Dialogue System (QADS) that provides an interactive guessing game where players have to ask questions about attributes of an unknown person in … Design challenges and mis- conceptions in named entity recognition. … Related articles All 2 versions

Belief Tracking with Stacked Relational Trees D Ramachandran, A Ratnaparkhi – 16th Annual Meeting of the Special …, 2015 – aclweb.org … 2 Dialog State Representation Most commercial and research dialog systems rep- resent the state of a conversation as a collection 68 … Shallow NLP techniques such as Named-Entity Recognition are used to ex- tract the relevant slot-value pairs from each spoken utterance of … Related articles All 9 versions

Answering N-Relation Natural Language Questions in the Commercial Domain E Cabrio, CF Zucker, F Gandon, A Hallili… – 2015 IEEE/WIC/ACM …, 2015 – ieeexplore.ieee.org … Business-To-Client (B2C) services and applications (eg, Search Engines, Comparative Shopping Systems, Ques- tion Answering Systems, and Dialog Systems). … The EAT is used to specify the type of the queried resources during the Named Entity Recognition (see Section II-B … Related articles All 3 versions

An interactive question-answer system with dialogue for a receptionist avatar EJ Wantroba, RAF Romero – 2015 12th Latin American …, 2015 – ieeexplore.ieee.org … The Priberam uses deep technique to find an answer as named entity recognition, – part-of-speech (POS) tagging – and context-free grammar to deal with … be showed in section III-B.1. In this work, an IQA system is being proposed acting together with a dialogue system for giving … Related articles All 2 versions

A Heuristic Approach to Factoid Question Generation from Sentence A Das, A Shaw, S Sarkar, T Deb – 2015 – academia.edu … Descent Parsing, Named Entity Recognition. I. INTRODUCTION Automatic generation of questions is a challenging and an important research area in natural language generation, potentially useful in intelligent tutoring systems, dialogue systems, educational technologies … Related articles

Complex Event Extraction using DRUM J Allen, W de Beaumont, L Galescu… – ACL-IJCNLP …, 2015 – anthology.aclweb.org … Simi- larly, in dialogue systems utterances are expected to be fairly short and colloquial, whereas in sci- entific text the sentence … 8. Related Work and Discussion With the advent of relatively successful text min- ing strategies (named entity recognition, infor- mation extraction … Related articles All 7 versions

Social talk capabilities for dialogue systems T Klüwer – 2015 – universaar.uni-saarland.de … Social Talk Capabilities for Dialogue Systems Tina Klüwer T in a K lü w e r S o cia l Ta lk C a p a b ilitie … Page 2. Tina Klüwer Social Talk Capabilities for Dialogue Systems universaar Universitätsverlag des Saarlandes Saarland University Press Presses Universitaires de la Sarre … Related articles All 3 versions

Foundations of Semantic Television Design of a Distributed and Gesture-Based Television System S Bergweiler, M Deru – academia.edu … To achieve this, we rely on the Java-based implementation of the Stanford Named Entity Recognition [40] that is able to extract and … approach follows the “no presentation without semantic representation” paradigm [51][52][53] in usage in numerous multimodal dialog systems [48 … Related articles All 2 versions

An Ergonomics Evaluation to Chatbot Equipped with Knowledge-Rich Mind W Liu, J Zhang, S Feng – Computational and Business …, 2015 – ieeexplore.ieee.org … DeepQA utilities named entity recognition and relation extraction to extract pieces of a formal representation, such as a limited set of types … higher level understanding [5]. Those researches inspire us to apply those theories to the research and implementation of a dialog system. … Related articles

Judging the Quality of Automatically Generated Gap-fill Question using Active Learning NB Niraula, V Rus – Silver Sponsor, 2015 – anthology.aclweb.org … 2004. Multi-criteria-based active learning for named entity recognition. In Proceedings of the 42nd Annual Meeting on Association for Computa- tional Linguistics, page 589. … 2015. Rapidly scal- ing dialog systems with interactive learning. 206 Cited by 1 Related articles All 9 versions

Educational Knowledge Management System Using NLP and Ontology Schema PS Deshmukh, RA Rane – ijetmas.com … [21] R. Sutcliffe, K. White, and U. Kruschwitz, “Named entity recognition in an intranet query log,” in Proceedings of the LREC Workshop on Semitic Languages, Valletta, Malta, 2010, pp. 43–49. … [31] Y. cheng Pan and L. shan Lee, “Type-ii dialogue systems for information access … Related articles

An Introduction To Content Determination G Casamayor, C Mellish – nlgsummer.github.io … Language dependent Page 6. NLG pipelines in dialogue systems • See slides on Statistical Natural Language Generation by M.White (2010) … Entity Linking • Named entity recognition + disambiguation against a dataset • Wikipedia/DBPedia/BabelNet • Coreference resolution … Related articles

A novel approach for automatic extraction of semantic data about football transfer in sport news … Dr Maria Indrawan-Santiago, Dr Gabriele … – … Journal of Pervasive …, 2015 – emeraldinsight.com … Keywords: Ontology, Semantic Web, Named entity recognition, Natural language processing, Rule based extraction, Semantic annotation Publisher: Emerald Group … Smartweb System (Buitelaar et al., 2006) is a multi-dialog system arising answers from the Semantic Web … Related articles

Cross-Lingual Cross-Media Content Linking: Annotations and Joint Representations (Dagstuhl Seminar 15201) AG Hauptmann, J Hodson, J Li, N Sebe… – Dagstuhl …, 2015 – drops.dagstuhl.de … This is the case for most of web data, emails, dialogue systems, and social media chatter. … Named entity recognition is used to identify people, products, companies, locations and key-phrases in the textual data and associated with an ontology using semantic annotation. … Related articles All 3 versions

Integrating natural language processing with image document analysis: what we learned from two real-world applications J Chen, H Cao, P Natarajan – International Journal on Document Analysis …, 2015 – Springer … and detecting errors. CRFs have been successfully applied to named entity recognition [32] and show promising results in speech error detection [11]. Therefore, we believe CRF is suitable for this task. Our preliminary experiments … Related articles All 3 versions

Chinese Word POS Tagging with Markov Logic Z Liao, Q Zeng, Q Wang – Pacific-Asia Workshop on Intelligence and …, 2015 – Springer … The research on word POS tagging is of crucial importance for discourse and dialog systems, machine translation, information retrieval, information extraction, named entity recognition, text summa- rization, question answering, and text mining. … Related articles All 4 versions

Towards Understanding Egyptian Arabic Dialogues ARA Elmadany, SM Abdou, M Gheith – arXiv preprint arXiv:1509.03208, 2015 – arxiv.org … ABSTRACT Labelling of user’s utterances to understanding his attends which called Dialogue Act (DA) classification, it is considered the key player for dialogue language understanding layer in automatic dialogue systems. … Related articles All 10 versions

Question Processing for Arabic Question Answering System HM Al Chalabi – 2015 – bspace.buid.ac.ae … applications was natural language database and front-ends. QA in human-machine dialogue was another area of primarily theoretical attention, where such dialogue systems have been built to assist researchers to understand the concepts of modelling the human dialogue. … Related articles

Turn Segmentation into Utterances for Arabic Spontaneous Dialogues and Instance Messages ARA Elmadany, SM Abdou, M Gheith – arXiv preprint arXiv:1505.03081, 2015 – arxiv.org … Spoken Dialogue systems, Dialogues Language Understanding, Dialogue Utterances Segmentation, Dialogue Acts, Machine Learning, Natural Language Processing … Bakr, I. Ziedan, and K. Shaalan, “A Novel Hybrid Approach to Arabic Named Entity Recognition,” presented at … Cited by 1 Related articles All 6 versions

Semeval-2015 task 2: Semantic textual similarity, english, spanish and pilot on interpretability E Agirrea, C Baneab, C Cardiec, D Cerd… – Proceedings of the 9th …, 2015 – aclweb.org … sen- tences from news headlines (HDL), image descrip- tions (Images), answer pairs from a tutorial dialogue system (Answers-student … word embed- dings, distributional and knowledge-based similar- ity are widely used, and also syntactic analysis and named entity recognition. … Cited by 62 Related articles All 12 versions

Towards an Automated Contact Centers (An Implementation of Artificial Intelligence and Text Mining techniques for CRM) MMI Sakre – ijser.org … It contains 2 Parts: an Internet multimedia dialogue system and a human agent assisting system. … 530-541. [30] Benajiba Y., Mona D., Rosso P. Using Language Independent and Language Specific Features to Enhance Arabic Named Entity Recognition. … Related articles

A Complete Bibliography of ACM Transactions on Asian Language Information Processing NHF Beebe – 2015 – tug.ctan.org … Li:2003:RDH [34] Wei Li and Andrew McCallum. Rapid development of Hindi named entity recognition using conditional random fields and feature induction. … [37] Harksoo Kim and Jungyun Seo. Resolution of referring expressions in a Korean multimodal dialogue system. … Related articles All 9 versions

A comparative study of evolving fuzzy grammar and machine learning techniques for text categorization NM Sharef, T Martin, KA Kasmiran, A Mustapha… – Soft Computing, 2015 – Springer … Text categorization can be performed by recognizing the underlying text expression. It has been utilized in many applications, such as dialogue systems, named entity recognition, information retrieval, and text categorization itself. … Related articles All 3 versions

SENSEI Coordinator M Kabadjov, EA Stepanov, F Celli, SA Chowdhury… – sensei-conversation.eu … Consequently, the range of applications of DA analysis is quite wide and includes conversa- tion summarization (both spoken and written), dialogue systems, etc.; and DAs have been extensively studied in both theoretical and computational linguistics. … Related articles

Investigation of ensemble models for sequence learning A Celikyilmaz, D Hakkani-Tur – 2015 IEEE International …, 2015 – ieeexplore.ieee.org … The user is expected to interact by voice with a spoken dialog system to perform a variety of tasks in relation to such media, including … [25] Erik FTK Sang and Fien De Meulder, “Introduction to the conll-2003 shared task: Language-independent named entity recognition,” in In … Related articles All 8 versions

A reinforcement learning formulation to the complex question answering problem Y Chali, SA Hasan, M Mojahid – Information Processing & Management, 2015 – Elsevier We use extractive multi-document summarization techniques to perform complex question answering and formulate it as a reinforcement learning problem. Given a se. Related articles All 12 versions

Resolving Discourse-Deictic Pronouns: A Two-Stage Approach to Do It SK Jauhar, RD Guerra, EG Pellicer, M Recasens – 2015 – research.google.com … Steinberger et al., 2007), textual entailment (Mirkin et al., 2010), in- formation extraction (McCarthy and Lehnert, 1995), and dialogue systems (Strube and … BERKELEY (Durrett and Klein, 2014), a joint model for coreference resolution, named entity recognition, and entity linking. … Cited by 1 Related articles All 9 versions

Using Ontology-Based Context in the Portuguese-English Translation of Homographs in Textual Dialogues D Moussallem, R Choren – arXiv preprint arXiv:1510.01886, 2015 – arxiv.org … Next goal is not only used ontologies file, but also using Linked Data eg DBpedia [39] and will be implemented NER (named entity recognition) based on … Proposed solution in this paper introduced a novel optical related with simultaneous translations in a dialogue systems. … Related articles All 6 versions

Towards a Cognitive Natural Language Processing Perspective B Sharp – Language Production, Cognition, and the Lexicon, 2015 – Springer … understanding approach to build a natural language understanding system in their attempt at addressing the problem that most dialogue systems suffer from lack … They are widely used in dialogue management, information extraction, text analysis, named entity recognition, etc. … Related articles All 5 versions

Layers of interpretation: On grammar and compositionality EM Bender, D Flickinger, S Oepen, W Packard… – Proceedings of the 11th …, 2015 – aclweb.org … semantic parsing has been a cornerstone of NLU from its early days, including work seeking to support dialogue systems, database interfaces … Built-in sup- port for light-weight named entity recognition and an unknown word mechanism typically enable the grammar to derive full … Cited by 3 Related articles All 9 versions

The SENSEI Project: Making Sense of Human Conversations G Riccardi, F Bechet, M Danieli, B Favre… – … Workshop on Future …, 2015 – Springer … This strategy has been applied successfully for many classical NLP tasks such as information retrieval, language modeling, machine translation, as part-of-speech tagging, named entity recognition, syntactic parsing, semantic role labeling, etc. … Related articles All 2 versions

Effective use of cross-domain parsing in automatic speech recognition and error detection MA Marin – 2015 – digital.lib.washington.edu … as well as the type, in order to handle them effectively during the subsequent clarification request made by the dialog system component. In particular we are interested in two types of ASR errors. … Page 29. 10 (for example, named entity recognition or chunking [144, 55]). … Cited by 2 Related articles All 2 versions

Non-Sentential Utterances in Dialogue: Experiments in classification and interpretation P Dragone – arXiv preprint arXiv:1511.06995, 2015 – arxiv.org … 64 4.5.1 Dialogue system architecture . . . . . … This approach to the resolution of NSUs has been the basis of several implementations of dialogue systems handling the resolution of NSUs such as Ginzburg et al. (2007) and Purver (2006). … Cited by 1 Related articles All 12 versions

Scaling RDF Triple Stores in Size and Performance: Modeling SPARQL Queries as Graph Homomorphism Routines VG Castellana, J Weaver, A Morari, A Tumeo… – Big Data …, 2015 – books.google.com Page 358. Chapter 14 Scaling RDF Triple Stores in Size and Performance: Modeling SPARQL Queries as Graph Homomorphism Routines Vito Giovanni Castellana?, 1, Jesse Weaver?, Alessandro Morari?, Antonino Tumeo … Related articles

Content-based Tweets Semantic Clustering and Propagation MA Michalakos – 2015 – repository.ihu.edu.gr … difficulty of use because of the training data as a supervised learning method. In our project we are going to experiment with named entity recognition in text sentences using the corpus of Natural Language Tool Kit library in Python. The goal will be to track … Related articles

Supervised Machine Learning Techniques to Detect TimeML Events in French and English B Arnulphy, V Claveau, X Tannier, A Vilnat – International Conference on …, 2015 – Springer … from texts is a keystone for many applications concerned with information access (question-answering systems, dialog systems, text mining … for TempEval-3. Edinburgh [9] relies on text segmentation, rule-based and machine-learning named entity recognition, shallow … Cited by 1 Related articles All 10 versions

Processing Units in Conversation: A Comparative Study of French and Mandarin Data L Prévot, SC Tseng, K Peshkov… – Language and …, 2015 – lin.sagepub.com … than comparing chunking quality. Indeed, we are not interested in the chunks from an applicative per- spective (such as named entity recognition), but as a good approximation of semantic processing units. In the longer term … Related articles All 14 versions

Extracting Sentiment from Healthcare Survey Data D Georgiou, A MacFarlane, T Russell-Rose – researchgate.net … On the other hand, TheySay offers an in-depth analysis by considering the following features: POS recognition, comparison detection, humour detection, speculation analysis, risk analysis, intent analysis, named entity recognition, shallow chunk parsing and dependency parsing … Related articles

Extracting sentiment from healthcare survey data: An evaluation of sentiment analysis tools D Georgiou, A MacFarlane… – … Conference (SAI), 2015, 2015 – ieeexplore.ieee.org … On the other hand, TheySay offers an in-depth analysis by considering the following features: POS recognition, comparison detection, humour detection, speculation analysis, risk analysis, intent analysis, named entity recognition, shallow chunk parsing and dependency parsing … Related articles

Sentiment Analysis of M&S Customers Reviews A Alharbi – 2015 – vlebb.leeds.ac.uk … 4.2. Data pre-processing …………… 25 Page 7. 4.2.1. Named Entity Recognition (NER) ………… 26 4.2.2. Separation dataset by category …………… 26 4.3. … Related articles

Computational irony: A survey and new perspectives BC Wallace – Artificial Intelligence Review, 2015 – Springer … Burfoot and Baldwin (2009) proposed a practical method to capture this intuition; they used Named Entity Recognition to (automatically) identify … 1728–1733. Tepperman J, Traum D, Narayanan S (2006) ”Yeah Right”: sarcasm recognition for spoken dialogue systems. Utsumi A … Cited by 15 Related articles All 6 versions

Natural Language Processing for Social Media A Farzindar, D Inkpen – Synthesis Lectures on Human …, 2015 – 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 … Cited by 4 Related articles All 5 versions

[BOOK] Advanced Applications of Natural Language Processing for Performing Information Extraction MJF Rodrigues, AJ da Silva Teixeira – 2015 – Springer … covered in this series include the presentation of real life com- mercial deployment of spoken dialog systems, contemporary methods of … morphological analysis, part-of-speech tagging, syntactic pars- ing—and domain specific IE components—named entity recognition and co … Related articles All 4 versions

[BOOK] NLTK essentials N Hardeniya – 2015 – books.google.com … 48 A chart parser 49 A regex parser 49 Dependency parsing 50 Chunking 52 Information extraction 55 Named-entity recognition (NER) 56 … model 67 Speech recognition 68 Text classification 68 Information extraction 70 Question answering systems 70 Dialog systems 71 … All 6 versions

Spoken Language Understanding in a Nutrition ARCVES Dialogue System MB Korpusik – 2015 – pdfs.semanticscholar.org Page 1. Spoken Language Understanding in a Nutrition ARCVES Dialogue System by Mandy B. Korpusik … the lack of a specific nutrient. 1.1 Dialogue Systems Spoken dialogue systems like this one have become increasingly prevalent in today’s … Related articles

People-Centric Natural Language Processing D Bamman – 2015 – lti.cs.cmu.edu … 1For example, Person, Organization, Location, and Miscellaneous comprise a nominal taxonomy widely used in named entity recognition; knowledge bases also implicitly perform fine-grained typing when asserting IS-A relationships among people. 3 Page 8. … Cited by 3 Related articles All 4 versions

Bringing machine learning and compositional semantics together P Liang, C Potts – Annu. Rev. Linguist., 2015 – annualreviews.org Cited by 13 Related articles All 4 versions

Deep learning approaches to problems in speech recognition, computational chemistry, and natural language text processing GE Dahl – 2015 – tspace.library.utoronto.ca Page 1. Deep learning approaches to problems in speech recognition, computational chemistry, and natural language text processing by George Edward Dahl A thesis submitted in conformity with the requirements for the degree … Cited by 1 Related articles All 5 versions

Dynamic Interviewing Agents: Effects on Deception, Nonverbal Behavior, and Social Desirability RM Schuetzler – 2015 – arizona.openrepository.com … the use of sophisticated text processing techniques such as part of speech tagging, named entity recognition, and processing of syntactic and semantic structure. … blurred. As such, some make the distinction not as chat bot versus dialog system, … Related articles All 3 versions

Similarity computation using semantic networks created from web-harvested data E Iosif, A Potamianos – Natural Language Engineering, 2015 – Cambridge Univ Press … Other network-based approaches rely on the use of linguistic tools and/or knowledge resources. In Harrington (2010), a semantic network was created from a corpus using a set of tools for named entity recognition, parsing, and semantic analysis. … Cited by 22 Related articles All 4 versions

[BOOK] Biometric and intelligent decision making support A Kaklauskas – 2015 – Springer Page 1. Intelligent Systems Reference Library 81 Arturas Kaklauskas Biometric and Intelligent Decision Making Support Page 2. Intelligent Systems Reference Library Volume 81 Series editors Janusz Kacprzyk, Polish Academy … Cited by 5 Related articles All 4 versions

Spoken Term Detection and Spoken Word Sense Induction on Noisy Data J Chiu – 2015 – cs.cmu.edu … 11 2.1.1 Word Recurrence in Dialogue Systems . . . . . … 2.1.1 Word Recurrence in Dialogue Systems (Barnett, 1973) propose the “Thematic Memory” as the content-word equivalent of the user-state syntax model. … Related articles

[BOOK] Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings A Gelbukh – 2015 – books.google.com … processing 3 21 14 Summarization 3 12 25 Word sense disambiguation 2 10 20 Computational terminology 2 8 25 Co-reference resolution 2 16 12 Named entity recognition 2 9 22 … 348 Rivindu Perera and Parma Nand A Dialogue System for Telugu, a Resource-Poor Language … Related articles All 2 versions