Relation Extraction & Dialog Systems


Relationship Extraction

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100 Best GitHub: Relation Extraction | Relation Extraction 2014


User Information Extraction for Personalized Dialogue Systems T Hirano, N Kobayashi, R Higashinaka, T Makino… – SEMDIAL 2015 …, 2015 – flov.gu.se … Michele Banko and Oren Etzioni. 2008. The tradeoffs between open and traditional relation extraction. … 2015. Creating a virtual neighbor. In Proceedings of the 2015 International Workshop Series on Spo- ken Dialogue Systems Technology. …

Leveraging semantic web search and browse sessions for multi-turn spoken dialog systems L Wang, L Heck, D Hakkani-Tur – Acoustics, Speech and Signal …, 2014 – ieeexplore.ieee.org … nontrivial baselines. Index Terms— spoken dialog systems, statistical dialog man- agement, multi-turn contextual model, dialog session, web search session, web browsing, entity extraction, relation extraction 1. INTRODUCTION … Cited by 8 Related articles All 9 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 between detected entities to support complex user re- quests; 2) dialog technologies to … Related articles

Advances in natural language processing J Hirschberg, CD Manning – Science, 2015 – sciencemag.org … 3 A spoken dialogue system. The three main components are represented by rectangles; arrows denote the flow of information. … This is referred to as relation extraction. For particular domain-specific relations, many such systems have been successfully built. … Cited by 3

Probabilistic enrichment of knowledge graph entities for relation detection in conversational understanding D Hakkani-Tür, A Celikyilmaz… – Proceedings of …, 2014 – mazsola.iit.uni-miskolc.hu … 6] and discovering new relation types from large text corpora [7]. Se- mantic knowledge graphs have also been used for SLU seman- tic parsing tasks in dialog systems [8, 9, 10 … [20] A. Culotta and J. Sorensen, “Dependency tree kernels for relation extraction,” in Proceedings of … Cited by 10 Related articles All 7 versions

[BOOK] Natural Language Processing and Information Systems: 17th International Conference on Applications of Natural Language to Information Systems, NLDB … G Bouma, A Ittoo, E Métais, H Wortmann – 2012 – books.google.com … Gerard Casamayor, Simon Mille, Marco Rospocher, Horacio Saggion, Luciano Serafini, and Leo Wanner Web-Based Relation Extraction for the … Larissa A. de Freitas, Marlo Souza, and Renata Vieira Posters Towards Interrogative Types in Task-Oriented Dialogue Systems….. … All 7 versions

Introduction to “this is watson” DA Ferrucci – IBM Journal of Research and Development, 2012 – ieeexplore.ieee.org … In more comprehensive systems such as open-domain QA and dialogue systems, we can learn how many different algorithms interact … Relation extraction techniques look deeper into the intended meaning, attempting to find semantic relationships (eg, starred in, visited, painted … Cited by 105 Related articles All 2 versions

Interactive Multi-Modal Question-Answering A van den Bosch, G Bouma – 2012 – anthology.aclweb.org … the program, the book covers only parts of it, arguably the most important ones: question answering, (spoken) dialogue systems, and human … “Relation Extraction for Open and Closed Domain Question Answering” (Bouma, Fahmi, and Jori Mur) shows how it is possible to extract … Related articles All 8 versions

A weakly-supervised approach for discovering new user intents from search query logs. D Hakkani-Tür, A Celikyilmaz, LP Heck, G Tür – INTERSPEECH, 2013 – msr-waypoint.com … As the builder of the dialog system may not know which user intents may be ob- served a priori, to be fair, we also included such clusters as new 3782 Page 4. … [5] M. Mintz, S. Bills, R. Snow, and D. Jurafsky, “Distant supervision for relation extraction without labeled data,” in … Cited by 7 Related articles All 9 versions

Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems YN Chen – target, 2015 – cs.cmu.edu Page 1. Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems Yun-Nung (Vivian) Chen Ph.D. Thesis Proposal … 69 xiii Page 20. xiv Page 21. 1Introduction 1.1 Spoken Dialogue System …

A common type system for clinical natural language processing. STI Wu, V Kaggal, D Dligach, JJ Masanz… – J. Biomedical …, 2013 – biomedcentral.com … a deep semantic representation analogous to those that have been used in the computational seman- tics and dialogue systems communities [8,9 … types were also cre- ated for standard NLP tasks, such as constituent and de- pendency parsing, relation extraction, and temporal … Cited by 10 Related articles All 16 versions

[BOOK] Interactive multi-modal question-answering A Van den Bosch, G Bouma – 2011 – books.google.com … 25 Boris van Schooten and Rieks op den Akker 1 Introduction….. 25 1.1 QA Dialogue System Features….. … 167 References….. 168 Relation Extraction for Open and Closed Domain Question Answering.. … Cited by 5 Related articles All 9 versions

A variational Bayesian model for user intent detection Y Ji, D Hakkani-Tur, A Celikyilmaz… – … , Speech and Signal …, 2014 – ieeexplore.ieee.org … Sudoh, and Mikio Nakano, “Incorporating discourse features into confidence scoring of intention recognition results in spoken dialogue systems,” Speech Communication … [14] M. Mintz, S. Bills, R. Snow, and D. Jurafsky, “Distant supervi- sion for relation extraction without labeled … Related articles All 4 versions

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. … Distant supervision for relation extraction without la- beled data. … Related articles All 3 versions

Ontology-Based Named Entity Recognizer for Behavioral Health. U Yasavur, R Amini, CL Lisetti, N Rishe – FLAIRS Conference, 2013 – ascl.cis.fiu.edu … 2012) designed a lexical resource for German, to perform relation extraction for recommending … ditional possibilities for the recognized entities by using rea- soners to classify them into further categories which has cru- cial importance in autonomous agent-based dialog systems. … Cited by 1 Related articles All 7 versions

Core technologies for the internet of services T Becker, C Burghart, K Nazemi, P Ndjiki-Nya… – Towards the Internet of …, 2014 – Springer … A platform for multimodal and situation aware dialog systems has been created, whose architecture and some applications are described. … This eliminates the frequent transformation steps between modules that are typical for earlier dialog systems. … Cited by 3 Related articles All 3 versions

Question analysis: How Watson reads a clue A Lally, JM Prager, MC McCord… – IBM Journal of …, 2012 – ieeexplore.ieee.org … answering it. Question analysis uses Watson’s parsing and semantic analysis capabilities: a deep Slot Grammar parser, a named entity recognizer, a co-reference resolution component, and a relation extraction component. We … Cited by 52 Related articles All 4 versions

Learning to interpret spatial natural language in terms of qualitative spatial relations P Kordjamshidi, J Hois, M van Otterlo… – Series Explorations in …, 2013 – lirias.kuleuven.be Page 1. Learning to Interpret Spatial Natural Language in terms of Qualitative Spatial Relations Parisa Kordjamshidi1, Joana Hois2, Martijn van Otterlo1, and Marie-Francine Moens1 1 Katholieke Universiteit Leuven, Departement Computerwetenschappen, … Cited by 6 Related articles All 2 versions

Processing modality and negation R Morante – Proceedings of the 2012 Conference of the North …, 2012 – dl.acm.org … semantics oriented natural language processing tasks at sentence and document level, like semantic role labeling, relation extraction, coreference resolution, paraphrasing, or textual entailment. In the past I have worked on machine translation, dialogue systems and semantic …

Grammatical Relation Extraction in Arabic Language OI Hammadi, MJ Ab Aziz – Journal of Computer Science, 2012 – search.proquest.com … Information Retrieval (IR), Information Extraction (IE), Question-Answering (QA), Summarization, Machine Translation (MT) and Dialogue Systems (DS … Related work: There are many syntax analyzing software (Abney, 1996) but only a few focus on grammatical relation extraction. … Related articles All 2 versions

A novel approach for automatic extraction of semantic data about football transfer in sport news QM Nguyen, TD Cao, I Khalil – International Journal of …, 2015 – emeraldinsight.com … Smartweb System (Buitelaar et al., 2006) is a multi-dialog system arising answers from the semantic web services. The above Page 2. systems have achieved positive results, showing the advantages of semantic web application. …

A Hybrid Approach for Extending Ontology from Text W He, S Li, X Yang – Natural Language Processing and Chinese …, 2013 – Springer … Baxter, D., Curtis, J., Schneider, D., Kahlert, R., Miraglia, P., Wagner, P., Panton, K., Matthews, G., Vizedom, A.: An Interactive Dialogue System for Knowledge … ACM, New York (2007) 9. Schutz, A., Buitelaar, P.: RelExt: a tool for relation extraction from text in ontology exten- sion. … Related articles All 6 versions

Towards a computational history of the acl: 1980-2008 A Anderson, D McFarland, D Jurafsky – Proceedings of the ACL-2012 …, 2012 – dl.acm.org … languages, spanish, russian, multilingual, lan, hindi, swedish Relation Extraction: pattern/s, relation, extraction, instances, pairs … Anaphora Resolution: resolution, pronoun, anaphora, antecedent, pronouns, coreference, anaphoric Question Answering Dialog System: response/s … Cited by 10 Related articles All 16 versions

Automatic generation of multiple choice questions using dependency-based semantic relations N Afzal, R Mitkov – Soft Computing, 2014 – Springer … Our assumption for relation extraction is that it is between NEs stated in the same sentence and that presence or absence of … Automatic question generation has the potential to be employed in various areas such as intelligent tutoring systems, dialogue systems (Walker et al. … Cited by 2 Related articles All 4 versions

[BOOK] Natural language processing of semitic languages I Zitouni – 2014 – Springer … 280 9.3 Approaches to Relation Extraction….. … Prior to IBM, Imed was a researcher at Bell Laboratories, Lucent Technologies, for almost half dozen years working on language modeling, speech recognition, spoken dialog systems, and speech understanding. … Cited by 5 Related articles All 4 versions

Supervised Machine Learning Techniques to Detect TimeML Events in French and English B Arnulphy, V Claveau, X Tannier, A Vilnat – Natural Language Processing …, 2015 – Springer … events from texts is a keystone for many applications concerned with information access (question-answering systems, dialog systems, text mining … TempEval-3 7 [ 27 ] consisted again in the evaluation of event and temporal relation extraction, but only English and Spanish tracks …

[BOOK] Natural Language Processing and Chinese Computing: First CCF Conference, NLPCC 2012, Beijing, China, October 31-November 5, 2012. Proceedings M Zhou, G Zhou, D Zhao, Q Liu, L Zou – 2012 – books.google.com … Cao Shi, Jianguo Xiao, Wenhua Jia, and Canhui Xu A Spoken Dialogue System Based on FST and DBN … Kang, Yu Hong, Li Yu, Jianmin Yao, and Qiaoming Zhu Exploiting Lexical Semantic Resource for Tree Kernel-Based Chinese Relation Extraction….. … All 3 versions

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. … [23] Nguyen, DPT, Matsuo, Y., Ishizuka, M.: Exploiting Syntactic and Semantic Information for Relation Extraction from Wikipedia. … Related articles

Language Technology Support for French J Mariani, P Paroubek, G Francopoulo, A Max… – The French Language in …, 2012 – Springer … Recognition 7: Basic Architecture for a Spoken Language Dialog System … Whereas the user of a dictation system may usually manually verify and edit the system output, more complex requirements are imposed on a dialog system intended to naturally con- verse with a human. … All 2 versions

Computer Program for Counting the Part of Speeches, Text Narrations by using Secondary Data Algorithm Techniques P Kumar, S Khulbe, HS Dhami – International Journal of Computer …, 2012 – Citeseer … An application of dialogue systems for developing computer programs has been also described and discussed in this paper. … The software can be used as integration for other systems or for purposes different from relation extraction and counting Multi-Way Classification of … Related articles All 4 versions

Unnecessary utterance detection for avoiding digressions in discussion R Yoshida, T Hiraoka, G Neubig, S Sakti… – Asia-Pacific Signal …, 2014 – ieeexplore.ieee.org … If, for example, a dialogue system could help us avoid digressions and keep the conversation on track, the discussion could proceed more efficiently. … [5] Lu Wang and Claire Cardie, “Focused meeting summarization via unsupervised relation extraction,” Proceedings of the … Related articles All 5 versions

Realistic Dialogue Engine for Video Games CM Rose – 2014 – ir.lib.uwo.ca … 60 6.4.5 Relationship Extraction ….. 60 … after a while due to the highly deterministic nature of their responses. The types of dialogue systems used in video games could be classified into three main … Cited by 1 Related articles

Language Technology for eGovernment–Business Cases M Henkel, E Perjons, E Sneiders, J Karlgren… – New Perspectives in …, 2014 – Springer … Linkaging, sometimes referred to as relation extraction (Aggarwal, 2012), find connections, or links, between texts in different clusters. … 2000) Acomb, K., Bloom, J., Dayanidhi, K., Hunter, P., Krogh, P., Levin, E., Pieraccini, R.: Technical support dialog systems: Issues, problems … Cited by 1 Related articles All 5 versions

Spreading activation in language understanding DM Nemeskey, GA Recski, M Makrai, A Zséder… – 2013 – eprints.sztaki.hu … This paper describes a simple word-driven architecture for a dialog system capable of acting on the kind of fragmentary input that pervades … Both in relation extraction (database population) and in dialog manage- ment the overarching goal of the analysis is to find the relevant … Related articles All 3 versions

Linguistic Approach to Information Extraction and Sentiment Analysis on Twitter S Nepal – 2012 – rave.ohiolink.edu … 29 3.6.1 Syntactic Parser based Relation Extraction . . . . . 29 3.6.2 ReVerb based Information Extraction . . . . … 30 3.4 Sample Binary Relation Extraction using OpenNLP Parser . . . . . 31 3.5 Reverb Relation Extractor for Twitter [16] . . . . … Related articles All 3 versions

Domain Cartridge: Unsupervised Framework for Shallow Domain Ontology Construction from Corpus S Mukherjee, J Ajmera, S Joshi – Proceedings of the 23rd ACM …, 2014 – dl.acm.org … Keywords Ontology; Unsupervised Framework; Relation Extraction; Distri- butional Similarity … The discovered relations can be used for query expan- sion (eg by considering Synonyms along with the original query), interactive dialogue systems (eg for the user query “the battery … Related articles All 5 versions

Question generation based on lexico-syntactic patterns learned from the web S Curto, A Mendes, L Coheur – Dialogue & Discourse, 2012 – journals.linguisticsociety.org … This tool aims at supporting the dialogue system of the FalaComigo project, as one of FalaComigo’s goals is the interaction with tourists through questions … Thus, as done in many Information Extraction frameworks – such as DARE (Domain Adaptive Relation Extraction)2(Xu … Cited by 5 Related articles All 5 versions

A Complete Bibliography of ACM Transactions on Speech and Language Processing (TSLP) NHF Beebe – 2014 – tug.ctan.org … CODEN ???? ISSN 1550- 4875. Giuliano:2007:REI [GLR07] Claudio Giuliano, Alberto Lavelli, and Lorenza Romano. Relation extraction and the in- fluence of automatic named- entity recognition. … Evaluating dis- course understanding in spoken dialogue systems. … Related articles All 10 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 2 Related articles All 4 versions

Linguistic encoding of temporal relations in robotic system scenarios M Gnjatovi?, N Vujnovi?-Sedlar… – Intelligent Systems and …, 2012 – ieeexplore.ieee.org … Finally, Section V discusses the implementation of the pro- posed linguistic encoding within a prototype dialogue system. II. … Derczynski and Gaizauskas [3] investigate the role of temporal signals in temporal relation extraction, and provide a quantitative analysis of these ex … Related articles All 2 versions

Applying Semantic Technology To Business News Analysis I Novalija, D Mladeni? – Applied Artificial Intelligence, 2013 – Taylor & Francis … View all references) presents the user-interactive dialogue system for knowledge acquisition, in which the user is engaged in a natural … key ideas of this approach include domain specific class recognition with minimum manual effort, learning rules for relation extraction based on … Related articles All 3 versions

Spoken language understanding in a nutrition dialogue system MB Korpusik – 2015 – groups.csail.mit.edu Page 1. Spoken Language Understanding in a Nutrition 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 2

Evaluation of the KomParse Conversational Non-Player Characters in a Commercial Virtual World. T Klüwer, F Xu, P Adolphs, H Uszkoreit – LREC, 2012 – lrec-conf.org … The di- alogue system manages a handful of variables which form a type of information state. Moreover, frames are used to handle the task model of the dialogue system. … 2010. Boosting relation extraction with limited closed- world knowledge. … Cited by 4 Related articles All 2 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 … The kernel function allows the dot product of any structure such as trees or strings. In ANA’s case we use a tree kernel [8] for our relation extraction and a linear kernel … Related articles All 2 versions

OntoPlus: Text-driven ontology extension using ontology content, structure and co-occurrence information I Novalija, D Mladeni?, L Bradeško – Knowledge-Based Systems, 2011 – Elsevier … SPRAT system combines the name entity recognition, ontology-based information extraction and relation extraction in order to define patterns for the … semi-automatic approach for Cyc KB extension presented in [28] is based on the user-interactive dialogue system for knowledge … Cited by 14 Related articles All 3 versions

Spatial role labeling: Towards extraction of spatial relations from natural language P Kordjamshidi, M Van Otterlo, MF Moens – ACM Transactions on …, 2011 – dl.acm.org … The TPP data are exploited here to solve the first part of our relation extraction algorithm, that is, finding prepositions that have a spatial sense. … General spatial relation extraction presents many challenges concerning task- specific ambiguities and difficulties. … Cited by 44 Related articles All 5 versions

Language Technology 2020: The Meta-Net Priority Research Themes G Rehm, H Uszkoreit – META-NET Strategic Research Agenda for …, 2013 – Springer … Text analytics (named entity recognition, event recognition, relation extraction, sentiment analysis and opinion mining including the temporal dimension) • Syntactic, semantic, rhetorical analysis and text structure identification …

SemEval-2014 Task 6: Supervised Semantic Parsing of Robotic Spatial Commands K Dukes – SemEval 2014, 2014 – aclweb.org … Recently, state-of-the-art semantic pars- ing methods have used for a variety of applica- tions, including question answering (Kwiat- kowski et al., 2013; Krishnamurthy and Mitchell, 2012), dialog systems (Artzi and Zettlemoyer, 2011), entity relation extraction (Kate and Mooney … Related articles All 9 versions

Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework I Titov, E Khoddam – arXiv preprint arXiv:1412.2812, 2014 – arxiv.org … been shown to benefit question answering [47, 29], textual entailment [46], machine translation [57, 36, 56, 21], and dialogue systems [5, 53 … Unsupervised learning has also been one of the central paradigms for the closely-related area of relation extraction (RE), where several … Related articles All 3 versions

Language Technology Support for English G Rehm, H Uszkoreit – The English Language in the Digital Age, 2012 – Springer … 19 Page 6. Speech Input Signal Processing Speech Output Speech Synthesis Phonetic Lookup & Intonation Planning Natural Language Understanding & Dialogue Recognition 5: Speech-based dialogue system public transportation and telecommunications. … All 2 versions

Spontaneous speech and opinion detection: mining call-centre transcripts C Clavel, G Adda, F Cailliau, M Garnier-Rizet… – Language resources …, 2013 – Springer … The second paragraph focuses on the models used for business concepts. The third treats the models of opinions and sentiments, and the fourth is about the model of relationship extraction. The fifth paragraph shows an application of the sentiment analysis. … Cited by 7 Related articles All 11 versions

On the voice-activated question answering P Rosso, LF Hurtado, E Segarra… – Systems, Man, and …, 2012 – ieeexplore.ieee.org … There are some recognition systems that can process more than 60000 words; some prototypes of mixed- initiative dialog systems, which are capable … In [15] and [16], the authors investigate the impact that NE recognition, as well as relation extraction, may have on doc- ument … Cited by 6 Related articles All 9 versions

Detecting causality from online psychiatric texts using inter-sentential language patterns JL Wu, LC Yu, PC Chang – BMC medical informatics and …, 2012 – biomedcentral.com … Additionally, a dialog system could generate supportive responses if it could understand depressive problems and their associated reasons embedded in users’ input. … Other studies have also demonstrated the use of surface text patterns for relation extraction [37,38]. … Cited by 3 Related articles All 14 versions

Similarity Based Language Model Construction for Voice Activated Open-Domain Question Answering. I Varga, K Ohtake, K Torisawa, S De Saeger, T Misu… – IJCNLP, 2011 – Citeseer … In achieving this goal, we believe flexible speech recognition can be a great help since it can allow users to ask anytime, any- where, any questions that come to mind. The QA module is an extension of a pattern- based relation extraction method (De Saeger et al., 2009). … Cited by 6 Related articles All 8 versions

A Semantic Framework for Harvesting Vague Enterprise Knowledge from Microposts P Alexopoulos, J Pavlopoulos… – International Journal on …, 2014 – World Scientific … Many works in this area try to tackle specific tasks, such as concept and relation extraction, extending existing ontologies, and ontology population.4,27,36 For exam- ple, in Ref. … isRelevantToResearchArea PARLANCE Dialogue Systems … Related articles All 2 versions

Confidence driven unsupervised semantic parsing D Goldwasser, R Reichart, J Clarke… – Proceedings of the 49th …, 2011 – dl.acm.org Page 1. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, pages 1486–1495, Portland, Oregon, June 19-24, 2011. cO2011 Association for Computational Linguistics Confidence Driven Unsupervised Semantic Parsing … Cited by 44 Related articles All 12 versions

High performance natural language processing services on the GARUDA grid A Tomar, J Bodhankar, P Kurariya… – Parallel Computing …, 2013 – ieeexplore.ieee.org … co-reference resolution, discourse analysis, morphological segmentation, optical character recognition, subject predicate relationship extraction, semantic analysis, knowledge acquisition, natural language understanding, text generations, dialogue system, automatic speech … Cited by 1 Related articles All 5 versions

[BOOK] Advanced Applications of Natural Language Processing for Performing Information Extraction MJF Rodrigues, AJ da Silva Teixeira – 2015 – Springer … Some of the topics covered in this series include the presentation of real life com- mercial deployment of spoken dialog systems, contemporary methods of speech parameterization, developments in information security for automated speech, forensic speaker recognition, use … Related articles All 2 versions

Conversational agents in a virtual world P Adolphs, A Benz, NB Castelló, X Cheng… – KI 2011: Advances in …, 2011 – Springer … In: van Kuppevelt, J., Dybkjaer, L., Bernsen, NO (eds.) Advances in Natural Mul- timodal Dialogue Systems, Text, Speech and Language Technology. ch.2, vol. 30, pp. … Xu, F., Uszkoreit, H., Krause, S., Li, H.: Boosting relation extraction with limited closed-world knowledge. … Cited by 2 Related articles All 6 versions

Speech-based Question Answering System “Ikkyu” DES Stijn, J GOTO, I VARGA – Journal of the National Institute of …, 2012 – nict.go.jp … Ikkyu regards the question answering process as a relation extraction problem and solves it by a real-time adaptation of the semantic relation acquisition method proposed in ?1?and ?2?. For example, to the question “What is Paris famous for?” Ikkyu finds a semantic relation … Related articles

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 2 versions

Review of Korean speech act classification: machine learning methods HS Kim, CN Seon, JY Seo – Journal of Computing Science and …, 2011 – koreascience.or.kr … If a dialogue system fails to capture users’ intentions, the system will not be able to decide whether to respond to users … His research interests include statistical methods for natural language processing, dialogue management, relation extraction, and question answering. … Cited by 5 Related articles All 5 versions

A Dialogue System for Conversational NPCs T Klüwer, P Adolphs, F Xu, H Uszkoreit – … in Spoken Dialogue Systems …, 2011 – Springer … The core of the dialogue system is the dialogue graph which determines the next action according to the results of the input … Learning was carried out using a bootstrapping relation-extraction method based on the typical relations between the found persons, such as family … Related articles All 5 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 catego- rization 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 2 versions

End-to-End Relation Extraction via Syntactic Structures and Semantic Resources TVT Nguyen – 2011 – eprints-phd.biblio.unitn.it … DISI – University of Trento End-to-End Relation Extraction via Syntactic Structures and Semantic Resources … applications that require deep understanding capabilities such as question- answering engines, dialogue systems, or the semantic web. Due to the huge … Related articles

Semantic relations between nominals V Nastase, P Nakov, DO Seaghdha… – Synthesis Lectures on …, 2013 – morganclaypool.com … 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 … Web. We also present machine learning techniques in which data redundancy and variability lead to fast and reliable relation extraction. KEYWORDS … Cited by 13 Related articles All 4 versions

Embodied Language Processing: A New Generation of Language Technology. K Pastra, E Balta, P Dimitrakis… – Language-Action Tools for …, 2011 – aaai.org … automatic text indexing and retrieval technology is behind powerful search engines on the web, while dialogue systems are increasingly … Semantic relation extraction: the task involves the automatic extraction of binary semantic relations between embodied concepts, such as … Cited by 3 Related articles All 10 versions

EACL 2012 A France – 2012 – anthology.aclweb.org … 409 Combining Tree Structures, Flat Features and Patterns for Biomedical Relation Extraction Md. … 460 Evaluating language understanding accuracy with respect to objective outcomes in a dialogue system Myroslava O. Dzikovska, Peter Bell, Amy Isard and Johanna D. Moore … All 13 versions

A Complete Bibliography of ACM Transactions on Asian Language Information Processing NHF Beebe – 2015 – tug.ctan.org … Kim:2003:RRE [37] Harksoo Kim and Jungyun Seo. Resolution of referring expressions in a Korean multimodal dialogue system. ACM Transactions on Asian Lan- guage Information Processing, 2(4):324–337, December 2003. CODEN ???? … Related articles All 9 versions

Extraction of non-taxonomic relations from texts to enrich a basic ontology M Ribeiro – 2014 – fenix.tecnico.ulisboa.pt … perts by suggesting candidate relations that might become part of the ontology as well as prospective labels for them. Keywords: Ontology Learning , Relation Extraction , Non-taxonomic Relations , Natu- ral Language Processing i Page 4. Page 5. … 18 2.2 Relation Extraction . . . …

An Ontology-based Adaptive Reporting Tool. C Mårtenson, A Horndahl, Z Kabir – STIDS, 2011 – stids.c4i.gmu.edu … Techniques for automatic structuring of text include linguistic and statistical approaches for entity and relation extraction. … the manual input and the information model used by the input device greatly improves the conditions for accomplishing a computer based dialogue system. … Cited by 1 Related articles All 5 versions

Semantic Relation Extraction Between Lexical Theories And Applications C Giannone – 2011 – tesi-marina.googlecode.com … Extraction and Dialogue Systems require a strong knowledge representation framework in order to define the concepts and the relations between them. For this reason, Relation Extraction, ie, the automatic localization of fragment … Related articles All 3 versions

The Problem of Understanding R Porzel – Contextual Computing, 2011 – Springer … approach; • a set of applications of contextual computing for the various steps of processing the user’s natural language input in dialog systems, such as hypothesis verifi- cation in automatic speech recognition, word sense disambiguation and relation extraction in semantic … All 3 versions

[BOOK] KI 2011: Advances in Artificial Intelligence: 34th Annual German Conference on AI, Berlin, Germany, October 4-7, 2011, Proceedings J Bach, S Edelkamp – 2011 – books.google.com … Hans Uszkoreit, and Feiyu Xu Dependency Graphs as a Generic Interface between Parsers and Relation Extraction Rule Learning … Table of Contents XIII Human-Machine Corpus Analysis for Generation and Interaction with Spoken Dialog Systems….. … All 3 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

Knowledge acquisition from user reviews for Interactive Question Answering N Konstantinova – 2013 – wlv.openrepository.com … Selection of the relevant sentences is based on the results of coreference resolution and relation extraction. Another hypothesis is that opinionated sentences are a good source for ranking the phone features. … 15 2.2 Dialogue systems . . . . . … Related articles All 6 versions

The META-NET Strategic Research Agenda for Language Technology in Europe: An Extended Summary G Rehm – Translation: Computation, Corpora, Cognition, 2013 – t-c3.org … Text analytics (named entity recognition, event recognition, relation extraction, sentiment analysis and opinion … Robust, accurate, incremental speech recognition • Natural, incremental speech generation and synthesis, providing expressive voices • Robust dialogue systems … Related articles All 2 versions

KI 2011: Advances in artificial intelligence S Edelkamp, J Bach – 24th Annual German Conference on AI. Lecture …, 2011 – Springer … Hans Uszkoreit, and Feiyu Xu Dependency Graphs as a Generic Interface between Parsers and Relation Extraction Rule Learning … Table of Contents XIII Human-Machine Corpus Analysis for Generation and Interaction with Spoken Dialog Systems….. … Cited by 1 Related articles

Mining association language patterns using a distributional semantic model for negative life event classification LC Yu, CL Chan, CC Lin, IC Lin – Journal of biomedical informatics, 2011 – Elsevier … response time. A dialog system could generate supportive responses if it could understand the negative life events embedded in users’ input. Therefore, this study proposes a framework for negative life event identification. We … Cited by 15 Related articles All 9 versions

[BOOK] The handbook of computational linguistics and natural language processing A Clark, C Fox, S Lappin – 2013 – books.google.com … Remarks 16 Computational Models of Dialogue 1 Introduction 2 The Challenges of Dialogue 3 Approaches to Dialogue System Design 4 … 18 Information Extraction 1 Introduction 2 Historical Background 3 Name Extraction 4 Entity Extraction 5 Relation Extraction 6 Event … Cited by 60 Related articles All 4 versions

[BOOK] Multilingual natural language processing applications: from theory to practice D Bikel, I Zitouni – 2012 – books.google.com … 9.4 Relation Extraction as Classification 9.4.1 Algorithm 9.4.2Features 9.4.3 Classifiers 9.5 Other Approaches to Relation Extraction 9.5.1 … Evaluation and Metrics 14.6.1 Evaluation Metrics in the GALE Program 14.7 Summary Chapter 15 Spoken Dialog Systems 15.1 Introduction … Cited by 4 Related articles All 2 versions

A survey of commonsense knowledge acquisition LJ Zang, C Cao, YN Cao, YM Wu… – Journal of Computer …, 2013 – Springer Page 1. Zang LJ, Cao C, Cao YN et al. A survey of commonsense knowledge acquisition. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 28(4): 689-719 July 2013. DOI 10.1007/s11390-013-1369-6 A Survey of Commonsense Knowledge Acquisition … Cited by 3 Related articles All 9 versions

The State of Computational Morphology for Europe’s Languages and the META-NET Strategic Research Agenda G Rehm – Systems and Frameworks for Computational …, 2013 – Springer Page 1. The State of Computational Morphology for Europe’s Languages and the META-NET Strategic Research Agenda Georg Rehm DFKI GmbH, Alt-Moabit 91c, 10559 Berlin, Germany georg.rehm@dfki.de Abstract. Recognising … Related articles All 3 versions

Recognizing textual entailment: Models and applications I Dagan, D Roth, M Sammons… – Synthesis Lectures on …, 2013 – morganclaypool.com … Data-Intensive Text Processing with MapReduce Jimmy Lin and Chris Dyer 2010 Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Page 7. v … Cited by 32 Related articles All 7 versions

[BOOK] The English Language in the Digital Age S Ananiadou, J McNaught, P Thompson, G Rehm… – 2012 – Springer Page 1. Page 2. White Paper Series THE ENGLISH LANGUAGE IN THE DIGITAL AGE Sophia Ananiadou University of Manchester John McNaught University of Manchester Paul Thompson University of Manchester Georg Rehm, Hans Uszkoreit (editors) Page 3. … Cited by 4 Related articles All 8 versions

Representing space in cognition: interrelations of behaviour, language, and formal models PARISA KORDJAMSHIDI, JOANA HOIS, MARTIJN VAN OTTERLO MF MOENS, 2013 – books.google.com … none spatial indicator the none none classroom none landmark If an appropriate number of sentences is labelled with information about the spatial indicator, trajector, landmark, motion indicator, path, and frame of reference, an automated spatial relation extraction method can … All 2 versions

Language report for Catalan (English version) MA Moreno Bilbao, N Bel, E Revilla Espí, E Garcia… – 2011 – upcommons.upc.edu … Language applications, voice-based user interfaces and dialogue systems are traditionally found in highly specialised domains, and they often exhibit limited performance. One active field of research is the use of language technology for rescue operations in disaster areas. … Related articles All 2 versions

Generating Descriptions for Images A Gupta – 2013 – web2py.iiit.ac.in … Templates have often been used for various practi- cal applications such as summarization [Zhou04] and dialogue systems [Channarukul03]. … We use “collapsed-ccprocessed-dependencies” which is intended to be more useful for relation extraction task [Marneffe08], as … Cited by 1 Related articles

Ontology-based information extraction CV Monllaó – 2011 – acia.udl.cat Page 1. Master in Artificial Intelligence (UPC-URV-UB) Master of Science Thesis Ontology-based Information Extraction Carlos Vicient Monllaó June, 23rd 2011 Page 2. Page 3. iii Table of contents … Cited by 3 Related articles

[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

Open Question Answering A Fader – 2014 – digital.lib.washington.edu … Tracking a dynamic context is often essential for handling information needs that go beyond simple factoid questions. A common case where this extra functionality is needed includes spoken dialogue systems. For example. modeling a conversation with an … Related articles

Is question answering fit for the semantic web? a survey V Lopez, V Uren, M Sabou, E Motta – Semantic Web, 2011 – oro.open.ac.uk … systems enabling reasoning mechanisms, sys- tems that fuse answers from different sources, inter- active (dialog) systems and systems … semantic and contextual processing to construct an answer might include: named-entity (NE) recognition, relation extraction, co-reference … Cited by 72 Related articles All 14 versions

Domain and Discourse R Porzel – Contextual Computing, 2011 – Springer … The early ways in which knowledge has been represented semantically in spoken dialogue systems or multi-modal dialogue systems show that individual representa- tions with different semantics and heterogeneously structured content can be found in various formats within … All 3 versions

The Multilingual Semantic Web P Buitelaar, KSKS Choi, P Cimiano, E Hovy – 2012 – vesta.informatik.rwth-aachen.de … Ontologies could help dialogue systems triggering predictable actions in AAL smart homes, ie turning off the oven when not used or reminding a person to make a phone call. 6. How can standardization (eg by the W3C) contribute? … Cited by 2 Related articles All 2 versions

Asymmetric Distributional Similarity Measures to Recognize Textual Entailment by Generality S Pais – 2013 – pastel.archives-ouvertes.fr … Each utterance in the interpreted version is actually implied or entailed by the utterances in the original conversation. Consequently, if we want to build a dialogue system, dealing with this kind of implication or entailment is one of the key challenges. … Related articles All 28 versions

The Multilingual Semantic Web (Dagstuhl Seminar 12362). P Buitelaar, KS Choi, P Cimiano, EH Hovy – Dagstuhl Reports, 2012 – drops.dagstuhl.de … Ontologies could help dialogue systems triggering predictable actions in AAL smart homes, ie turning off the oven when not used or reminding a person to make a phone call. 6. How can standardization (eg by the W3C) contribute? … Cited by 6 Related articles All 2 versions

Domain-sensitive topic management in a modular conversational agent framework D Macias Galindo – 2014 – researchbank.rmit.edu.au … Building Modular Knowledge Bases for Conversational Agents. In IJCAI Workshop on Knowledge Representation and Reasoning for Practical Dialogue Systems (KRPDS), pages 16–23, Barcelona, Spain, 2011a (ERA Rank: Unranked) … Related articles All 2 versions

Ontology-based Information Extraction C Vicient Monllaró – 2011 – upcommons.upc.edu Page 1. Master in Artificial Intelligence (UPC-URV-UB) Master of Science Thesis Ontology-based Information Extraction Carlos Vicient Monllaó Advisors: Antonio Moreno Ribas, David Sánchez Ruenes June, 23rd 2011 Page 2. v Agraïments … Related articles All 4 versions

On Applying Controlled Natural Languages for Ontology Authoring and Semantic Annotation BP Davis – 2013 – vmserver14.nuigalway.ie Page 1. On Applying Controlled Natural Languages for Ontology Authoring and Semantic Annotation Brian Patrick Davis Submitted in fulfillment of the requirements for the degree of Doctor of Philosophy PRIMARY SUPERVISOR: Prof. … Cited by 1 Related articles All 3 versions

Beyond Question Answering: Understanding the Information Need of the User S Li – 2011 – etheses.whiterose.ac.uk Page 1. Beyond Question Answering: Understanding the Information Need of the User Shuguang Li Submitted for the degree of Doctor of Philosophy University of York Department of Computer Science September 2011 Page 2. Abstract … Related articles All 5 versions

EMNLP 2013: Conference Handbook GH Hotel – 2013 – hum.csse.unimelb.edu.au … Combining Generative and Discriminative Model Scores for Distant Supervision Benjamin Roth, Dietrich Klakow Saturday 10:10–10:30 — Leonesa I and II Distant supervision is a scheme to generate noisy training data for relation extraction by aligning entities of a knowledge … All 2 versions

Towards Large Scale Summarization JM Christensen – 2015 – digital.lib.washington.edu Page 1. c Copyright 2014 Janara Christensen Page 2. Page 3. Towards Large Scale Summarization Janara Christensen A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2014 Reading … Related articles All 2 versions

Semi-automatic ontology construction B Fortuna – 2011 – slais.ijs.si … including automated ontology population with named entities [78], semi-automatic ontology extension based on the user-interactive dialogue system for knowledge … such as concept and relation extraction, extending existing ontologies, and ontology population [11]. … Cited by 4 Related articles

Interactive visualization systems and data integration methods for supporting discovery in collections of scientific information DA Pellegrino Jr – 2011 – DTIC Document Page 1. Interactive Visualization Systems and Data Integration Methods for Supporting Discovery in Collections of Scientific Information A Thesis Submitted to the Faculty of Drexel University by Donald Anthony Pellegrino Jr. in partial fulfillment of the requirements for the degree … Cited by 3 Related articles All 4 versions

Structural information aware deep semi-supervised recurrent neural network for sentiment analysis W Rong, B Peng, Y Ouyang, C Li, Z Xiong – Frontiers of Computer Science, 2015 – Springer Page 1. Front. Comput. Sci. DOI 10.1007/s11704-014-4085-7 Structural information aware deep semi-supervised recurrent neural network for sentiment analysis Wenge RONG1,2, Baolin PENG1, Yuanxin OUYANG 1,2, Chao LI1,2, Zhang XIONG1,2 … Related articles All 4 versions

User and Situation R Porzel – Contextual Computing, 2011 – Springer … also imagine a multitude of additional questions that need to be posed in order to enable a dialogue system to produce … of augmenting a given semantic representation – in the ap- proach proposed herein – corresponds in several respects to the relation extraction task described … All 3 versions

Semi-automatic Domain Modeling from Multilingual Corpora S Pollak – 2014 – kt.ijs.si Page 1. Univerza v Ljubljani/University of Ljubjana Filozofska fakulteta/Faculty of Arts Oddelek za prevajalstvo/Department of Translation Senja Pollak Polavtomatsko modeliranje podro?nega znanja iz ve?jezi?nih korpusov Semi … Cited by 1 Related articles

Deep stochastic sentence generation: resources and strategies S Mille – 2014 – tdx.cat Page 1. Deep stochastic sentence generation Resources and strategies Simon Mille TESI DOCTORAL UPF / 2014 Director de la tesi Prof. Leo Wanner Department of Information and Communication Technologies Page 2. By … Cited by 1 Related articles All 5 versions

Grounding linguistic analysis in control applications SRK Branavan – 2012 – people.csail.mit.edu … 146 4.6.4 Experimental Details . . . . . 147 4.7 Results . . . . . 148 4.7.1 Relation Extraction . . . . . 148 4.7.2 Planning Performance . . . . . 148 4.7.3 Feature Analysis . . . . . … Related articles All 6 versions