Statistical Parser & Dialog Systems


Statistical Parser & Dialog Systems
Statistical Parsing Wikipedia: Category:Natural language parsing 


Interactive question answering and constraint relaxation in spoken dialogue systems S Varges, F Weng, H Pon-Barry – … of the 7th SIGdial Workshop on …, 2009 – dl.acm.org … The dialogue system is fully implemented and has been used in restau- rant selection and MP3 player tasks … this seems too restrictive: assume, for example, that the user has asked for Montenegrin food, which is an unknown cuisine type, and that the statistical parser com- bined … Cited by 22 Related articles All 40 versions

[PDF] from dtic.mil Rapidly Customizable Spoken Dialogue Systems J Allen – 2009 – DTIC Document … Building a robust spoken dialogue system for a new application, task, or domain currently re- quires considerable effort, including substantial efforts in data collection … (2007), the extended system also receives constituent structure advice from a state-of-the-art statistical parser. … Related articles All 2 versions

[PDF] from classic-project.org [PDF] D1. 3: POMDP Learning for ISU Dialogue Management P Crook, J Henderson, O Lemon, X Liu – 2010 – classic-project.org … 3 DIPPER Spoken Dialogue Systems This work uses three DIPPER based SDSs. … Spoken Language Understanding (SLU): two parsers were used. The grammar-based Grammatical Framework (GF) Parser [23] and a statistical parser [24]. … Related articles All 2 versions

[PDF] from psu.edu Domain adaptation with artificial data for semantic parsing of speech L Van Der Plas, J Henderson, P Merlo – … of the North American Chapter of …, 2009 – dl.acm.org … A PP such as in time is not identified as a locative, whereas keyword-spotting techniques as those currently used in dialogue systems may pro- duce area=South and area=time indifferently. Statistical syntactic and semantic parsers need treebanks. … 5.1 The statistical parser … Cited by 5 Related articles All 16 versions

[PDF] from psu.edu Turn-yielding cues in task-oriented dialogue A Gravano, J Hirschberg – Proceedings of the SIGDIAL 2009 Conference …, 2009 – dl.acm.org … The syntactic features were computed using two different parsers: the Collins statistical parser (Collins, 2003) and CASS, a partial parser especially designed for use with noisy text … 2008. Optimizing endpoint- ing thresholds using dialogue features in a spoken dialogue system. … Cited by 19 Related articles All 19 versions

[PDF] from aclweb.org Grammar-driven versus data-driven: which parsing system is more affected by domain shifts? B Plank, G Van Noord – Proceedings of the 2010 Workshop on NLP and …, 2010 – dl.acm.org … For instance, McClosky et al. (2006) im- proved a statistical parser by self-training. … (1) Alpino is a parser for Dutch which has been developed over the last ten years, on the ba- sis of a domain-specific HPSG-grammar that was used in the OVIS spoken dialogue system. … Cited by 6 Related articles All 21 versions

Persian language understanding using a two-step extended hidden vector state parser F Jabbari, H Sameti, MH Bokaei – Machine Learning for Signal …, 2011 – ieeexplore.ieee.org … 1. INTRODUCTION The key element of a spoken dialogue system is a spoken language understanding unit. … 2. HIDDEN VECTOR STATE PARSER The HVS parser is a statistical parser and is considered as an extension of the discrete Markov model. … Related articles

[PDF] from tufts.edu Robust spoken instruction understanding for HRI R Cantrell, M Scheutz… – … -Robot Interaction (HRI) …, 2010 – ieeexplore.ieee.org … Abandoned utterances (eg, when a speaker begins a particular utterance, then abandons it to switch to a differ- ent conversational segment) are challenging to detect and recover from, particularly when using a robust statistical parser. … Cited by 20 Related articles All 4 versions

[PDF] from ntu.edu.tw [PDF] Deep semantic analysis of text J Allen, M Swift, W de Beaumont – Symposium on Semantics …, 2008 – speech.ee.ntu.edu.tw … We believe that integrating a statistical parser preprocessor and the LF-preference mechanism will start to address this problem. … Deep linguistic processing for spoken dialogue systems. In ACL 2007 Workshop on Deep Linguis- tic Processing, pp. 49–56. … Cited by 25 Related articles All 12 versions

[PDF] from ihmc.us Towards an OWL-based framework for extracting information from clinical texts N Blaylock, W de Beaumont, J Allen… – Proceedings of the 2nd …, 2011 – dl.acm.org … 2. PARSER, ONTOLOGY, AND LOGICAL FORM Our system has its roots in the TRIPS general-purpose NLP framework [1], which has benefited from over a decade of research in discourse analysis and dialogue systems. … named entity recognizers statistical parser Input Chart … Related articles All 4 versions

[PDF] from upenn.edu Deep linguistic processing for spoken dialogue systems J Allen, M Manshadi, M Dzikovska, M Swift – Proceedings of the …, 2007 – dl.acm.org … across domains. We do not use a statistical parser based on a trained corpus because in most dialogue-system projects, suffi- cient amounts of training data are not available and would be too time consuming to collect. In the … Cited by 29 Related articles All 39 versions

Rapid bootstrapping of statistical spoken dialogue systems R Sarikaya – Speech Communication, 2008 – Elsevier … We believe that minimizing the initial cost of a reasonably performing pilot dialogue system is a crucial step towards wider and faster deployment of such systems. … It also presents a brief description of a decision tree based statistical parser that is used as the baseline. … Cited by 2 Related articles All 3 versions

Spoken Dialogue System Design in 3 Weeks T Valenta, J Švec, L Šmídl – Text, Speech and Dialogue, 2012 – Springer … An expert dialogue system was chosen instead of any other (statistical) approach because the hand-crafted rules of understanding and dialogue policy are … to build the system from scratch in such time, we do not believe we would be able to build a statistical parser and an … Related articles

[PDF] from ed.ac.uk [PDF] D2. 5: Improved models of syntactic-semantic parsing, for English and French. L van der Plas, J Henderson, P Merlo – 2011 – wcms.inf.ed.ac.uk … We show that we are able to improve the performance of a statistical parser on goal-directed spoken data extracted from human-machine … as in time is not identified as a locative, whereas keyword-spotting techniques as those currently used in dialogue systems may produce … Related articles All 2 versions

Unilateral semi-supervised learning of extended hidden vector state for Persian Language Understanding F Jabbari, H Sameti, MH Bokaei – … Engineering (NLP-KE), 2011 …, 2011 – ieeexplore.ieee.org … I. INTRODUCTION The key element of a spoken dialogue system is spoken language understanding (SLU) part. … II. HIDDEN VECTOR STATE PARSER The HVS parser is a statistical parser and is considered as an expansion of the discrete Markov model. … Related articles

[TXT] from aclweb.org [TXT] Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, … N Bach, S Vogel, C Cherry, S Riedel, J Clarke… – Proceedings of Human …, 2009 – aclweb.org … Stoyanchev, Svetlana and Stent, Amanda}, title = {Lexical and Syntactic Adaptation and Their Impact in Deployed Spoken Dialog Systems}, booktitle = {Proceedings … Short, author = {c{C}obanou{g}lu, Onur}, title = {Active Zipfian Sampling for Statistical Parser Training}, booktitle …

[PDF] from psu.edu Practical use of non-local features for statistical spoken language understanding M Jeong, GG Lee – Computer Speech & Language, 2008 – Elsevier … In this paper, we focus on SLU for spoken dialog system, especially the slot-filling problem. … power of syntactic structure is impressive, using the parser-based feature fails to integrate correct global information due to the low accuracy of a modern statistical parser ( [Collins, 1999 … Cited by 13 Related articles All 7 versions

[PDF] from psu.edu Extended Hidden Vector State Parser J Švec, F Jurcícek – Text, Speech and Dialogue, 2009 – Springer … The key component of a spoken dialogue system is a spoken under- standing module. … The HVS parser is a statistical parser, which implements the search process over the sequence of vector states S = c1,c2,…,cT that maximizes the aposterior probabi- lity P(S|W) for the given … Cited by 2 Related articles All 5 versions

[BOOK] Spoken language understanding: Systems for extracting semantic information from speech G Tur, R De Mori – 2011 – books.google.com … Handling Speech in QA Systems 6.3 QA Evaluation Campaigns 6.4 Question-answering systems 6.5 Projects Integrating Spoken Requests and Question Answering 6.6 Conclusions References Chapter 7: SLU in Commercial and Research Spoken Dialogue Systems 7.1 Why … Cited by 18 Related articles All 3 versions

[BOOK] Human Language Technology. Challenges for Computer Science and Linguistics: 4th Language and Technology Conference, LTC 2009, Roznan, Poland, … Z Vetulani – 2011 – books.google.com … representa- tions (logical forms or discourse representation structures) on top of dependency relations produced by a statistical parser (Zouaq, Gagnon … The next two papers cover various aspects of a man–machine dialogue system (POLINT- 112-SMS) designed to understand … All 4 versions

Automatic switchboard operator T Valenta, L Šmídl – Text, Speech and Dialogue, 2011 – Springer … 1. Scheme of a dialogue system … The chosen method (using a context-free grammar with labelling) was the most suit- able one for such application, because there is not enough data for training a statistical parser or to build a language model covering all the names which can … Related articles All 2 versions

[PDF] from columbia.edu Turn-taking cues in task-oriented dialogue A Gravano, J Hirschberg – Computer Speech & Language, 2011 – Elsevier Cited by 19 Related articles All 8 versions

[PDF] from inria.fr Syntactic testsuites and Textual Entailment Recognition P Bedaride, C Gardent – The seventh International Conference on …, 2010 – hal.inria.fr … 3.1. The Afazio RTE system Similarly to the Nutcracker system (Curran et al., 2007), the Afazio RTE system combines a statistical parser (the Stanford parser (Klein and Manning, 2003)) with a sym- bolic semantic component. … In Workshop on Affective dialog systems. … Related articles All 8 versions

[PDF] from open.ac.uk Discriminative training of the hidden vector state model for semantic parsing D Zhou, Y He – … and Data Engineering, IEEE Transactions on, 2009 – ieeexplore.ieee.org … However, there has been little work in extending them to semantic parsing. To the best of our knowl- edge, [27] is the only work to estimate the proba- bilities for a neural network statistical parser using discriminative training criterion. … Cited by 15 Related articles All 10 versions

[PDF] from korea.ac.kr Portability challenges in developing interactive dialogue systems Y Gao, L Gu, HKJ Kuo – Acoustics, Speech, and Signal …, 2005 – ieeexplore.ieee.org … 3.2. Language Model Adaptation in the Presence of A Large Amount of Untranscribed Speech Data After a spoken dialogue system is put into the field, and real callers … In [22], a hybrid rule- based and statistical parser is proposed using recursive weighted finite state transducers … Cited by 21 Related articles All 7 versions

[PDF] from sabanciuniv.edu Semantic confidence measurement for spoken dialog systems R Sarikaya, Y Gao, M Picheny… – Speech and Audio …, 2005 – ieeexplore.ieee.org … SARIKAYA et al.: SEMANTIC CONFIDENCE MEASUREMENT FOR SPOKEN DIALOG SYSTEMS … Since, the statistical parser used in this study is data driven, the parser model learns the ungrammatical sentences from the actual spontaneous utterances, as opposed to those … Cited by 24 Related articles All 12 versions

[PDF] from psu.edu [PDF] Flexible turn-taking for spoken dialog systems A Raux – 2008 – Citeseer … Spoken dialog systems divide the complex task of conversing with the user into more spe- cific subtasks handled by specialized components: voice … Another approach to NLU is to train a statistical parser on a corpus of sentences annotated with their seman- tic representation. … Cited by 8 Related articles All 12 versions

[PDF] from gu.se [PDF] Editing syntax trees on the surface P Ljunglöf – Nodalida11: 18th Nordic Conference of Computational …, 2011 – clt.gu.se … It is possi- ble to describe a dialogue system as a GF gram- mar (Ljunglöf, 2009), but the problem with GF is that the concrete syntax is not robust. Suppose that we use a statistical parser such as the MALT parser (Nivre et al., 2007). … Cited by 1 Related articles All 9 versions

[PDF] from ourarchive.ac.nz A Statistical Model of Error Correction for Computer Assisted Language Learning Systems H Basiron – 2012 – otago.ourarchive.ac.nz Page 1. A Statistical Model of Error Correction for Computer Assisted Language Learning Systems Halizah Basiron a thesis submitted for the degree of Doctor of Philosophy at the University of Otago, Dunedin, New Zealand. May 24, 2012 Page 2. Abstract … Related articles

[PDF] from uni-saarland.de Linking flat predicate argument structures F Xu – 2011 – scidok.sulb.uni-saarland.de … 14 8 Disambiguation of HPSG Parsing Results with a Statistical Parser ….. 17 9 Statistical … data. Verbmobil data has been used for the development of a speech-la-speech translation dialog system. In comparison … Cited by 1 Related articles All 3 versions

[PDF] from psu.edu [PDF] Statistical NLP DKUC Berkeley – 2010 – Citeseer … NLP research, including: ? Natural language database systems ? A lot of early NLP work on these ? Spoken dialog systems ? Currently very … is needed: SMART paragraph retrieval ? Large taxonomy of question types and expected answer types is crucial ? Statistical parser used to … All 5 versions

The BASRAH System: A Method for Spoken Broadcast News Story Clustering ZA Khalaf Aleqili – Networked Digital Technologies, 2012 – Springer … 11. IEEE (2011) 9. Skantze, G.: The use of speech recogition confidence scores in dialogue systems. Speech Technology (2003) 10. Stanford University, The Stanford Parser: A statistical parser, http://nlp.stanford.edu/software/lex-parser.shtml 11. … Related articles

[PDF] from cmu.edu Spoken language understanding using the hidden vector state model Y He, S Young – Speech Communication, 2006 – Elsevier … 1. Introduction. Robust spoken language understanding (SLU) is a key requirement of spoken dialogue systems. … To test the portability and extensibility of the statistical parser, two sets of experiments have been conducted based on two different scenarios. … Cited by 44 Related articles All 11 versions

[PDF] from washington.edu Towards a theory of natural language interfaces to databases AM Popescu, O Etzioni, H Kautz – … of the 8th international conference on …, 2003 – dl.acm.org … that do not obey syntactic constraints and retains the rest as the basis for generating SQL queries corresponding to the question q. The syntactic information is extracted from the parse tree corresponding to the given question which is computed by a statistical parser [1]. For a … Cited by 229 Related articles All 27 versions

[PDF] from univ-avignon.fr Spoken language understanding with kernels for syntactic/semantic structures A Moschitti, G Riccardi… – … Speech Recognition & …, 2007 – ieeexplore.ieee.org … Our approach uses an off-the-shelf statistical parser to generate an initial syntactic parse tree which is semantically enriched with con- ceptual information. … Thus, our approach is a promising research line that should be explored in the design of complex dialog systems. … Cited by 10 Related articles All 12 versions

Handheld speech to speech translation system Y Gao, B Zhou, W Zhu, W Zhang – Automatic Speech Recognition on …, 2008 – Springer … 1997; Levin et al. 2000), ATR (Yamamoto 2000), ITC-IRST (Lazzari 2000), CAS (Zhou et al. 2004) and CLIPS (Blanchon and Boitet 2000), etc. The NLU module is based on the statistical parser employed in IBM telephony natural language dialog systems. … Cited by 2 Related articles All 2 versions

[PDF] from stanford.edu [PDF] Robust interpretation in dialogue by combining confidence scores with contextual features M Purver, F Ratiu, L Cavedon – Proc. of Interspeech, 2006 – godel.stanford.edu … on a manually constructed set of 400 test utterances for a single device (a restaurant recommendation system), of which 300 were also used to train the statistical parser and 100 were … [1] O Lemon, A Bracy, A Gruenstein, and S Peters, “A multi- modal dialogue system for human … Cited by 12 Related articles All 12 versions

[PDF] from uni-potsdam.de [PDF] Robust language analysis and generation for spoken dialogue systems S Varges, M Purver – … of Robust Spoken Dialogue Systems …, 2006 – haiti.cs.uni-potsdam.de … The dialogue system is fully implemented and has been used in restaurant selection and MP3 player tasks. … seems too restrictive: assume, for example, that the user has asked for Montenegrin food, which is an unknown cuisine type, and that the statistical parser combined with … Cited by 8 Related articles All 14 versions

[PDF] from unimelb.edu.au [PDF] Automatic instant messaging dialogue using statistical models and dialogue acts E Ivanovic – 2008 – repository.unimelb.edu.au … 26 3.1 Examples of different types of dialogue systems . . . . . … For example, Page 16. 4 Chapter 1: Introduction a dialogue system needs to know if it was just asked a question or ordered to do something. However, messages received via instant messaging may contain more … Cited by 4 Related articles All 5 versions

[PDF] from tut.ac.jp [PDF] Natural Language Processing for Games Studies Research JP Zagal, N Tomuro, A Shepitsen – Journal of Simulation & Gaming ( …, 2011 – lang.cs.tut.ac.jp … 7 ) and conversational agents (also called chat bots; eg Alice 8 ). Note that some NLP applications, especially conversational/dialogue systems, involve generation … POS tagger and a parser (we used the Stanford Part-Of-Speech Tagger 11 and the Stanford Statistical Parser 12 … Cited by 1

[PDF] from stanford.edu [PDF] Reordering Attachment Candidates in the CSLI Dialogue System’s DMT F Ratiu – 2009 – cs229.stanford.edu … 2. The CSLI Dialogue System The CSLI Dialogue Manager (CDM) implements the Information State Update (ISU) paradigm to dialogue management … produced for a given user utterance, for a number of reasons: – multiple hypotheses from ASR/statistical parser output; – multiple … Related articles All 7 versions

[PDF] from upenn.edu Generic parsing for multi-domain semantic interpretation M Dzikovska, M Swift, J Allen… – Proceedings of the Ninth …, 2005 – dl.acm.org … Our system bootstraps dialog system development in new domains and helps build parsed corpora.1 Evaluating deep parsers is a challenge (eg … We evaluate our parser on bracketing accuracy against a statistical parser as a baseline, then on a word sense disambiguation task … Cited by 11 Related articles All 34 versions

Exploiting lexical information for function tag labeling C Yuan, X Wang, F Ren – Natural Language Processing and …, 2008 – ieeexplore.ieee.org … to whom” that is implied in sentence, which will be useful in many NLP applications, such as information extraction, dialog system and machine … A common way is to use a two-stage architecture where first a statistical parser produces the syntactic trees then a second component … Cited by 2 Related articles All 2 versions

[PDF] from rug.nl Exploiting heterogeneous treebanks for parsing ZY Niu, H Wang, H Wu – Proceedings of the Joint Conference of the 47th …, 2009 – dl.acm.org Page 1. Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, pages 46–54, Suntec, Singapore, 2-7 August 2009. cO2009 ACL and AFNLP Exploiting Heterogeneous Treebanks for Parsing Zheng … Cited by 12 Related articles All 16 versions

[PDF] from stanford.edu [PDF] Practical plug-and-play dialogue management D Mirkovic, L Cavedon – Proceedings of the 6th Meeting of the …, 2005 – godel.stanford.edu … 2 Dialogue Manager Architecture Figure 1 outlines the CSLI Dialogue System architec- ture. The … activities. Recent CDM applica- tions have involved use of a third-party statistical parser, returning only weakly normalized semantic forms. … Cited by 17 Related articles All 2 versions

[PDF] from rochester.edu Chester: towards a personal medication advisor J Allen, G Ferguson, N Blaylock, D Byron… – Journal of Biomedical …, 2006 – Elsevier … Journal of Biomedical Informatics Volume 39, Issue 5, October 2006, Pages 500-513 Dialog Systems for Health Communications. … Keywords: Spoken dialogue system; Personal medical advisor; Prescription compliance; Artificial intelligence. Article Outline. … Cited by 25 Related articles All 26 versions

[PDF] from kfupm.edu.sa [PDF] A framework for dialogue data collection with a simulated ASR channel M Stuttle, JD Williams, S Young – Proceedings of ICSLP, 2004 – reference.kfupm.edu.sa … This paper proposes a novel framework for collection of data suitable for training ML approaches to spoken dialogue systems (SDSs). … In section 4, we detail this component and present experimental results using it in com- bination with a statistical parser. … Cited by 26 Related articles All 20 versions

[PDF] from sigdial.org [PDF] Dynamic n-best Selection and Its Application in Dialog Act Detection J Hu, F Morbini, F Weng, X Liu – Proceeding of the 8th Sigdial Workshop …, 2007 – sigdial.org … community, and starts to see its adoption by researchers on dialog systems. Even though n*-best method is demonstrated here only for dialog act detection domain, it can be po- tentially applied to speech recognition, POS (part- of-speech) tagging, statistical parser and any … Cited by 1 Related articles All 2 versions

[PDF] from civilengineering4life.com [PDF] Corpus Linguistics and Language Learning ES Atwell – 2008 – civilengineering4life.com … corrections. Our paper in the Natural Language Engineering Journal special issue on best practice in spoken dialogue systems engineering introduced the concept of Meta-users in User-guided system development in ISLE: Interactive Spoken … All 3 versions

[PDF] from upenn.edu [PDF] Partial parse selection for robust deep processing Y Zhang, V Kordoni, E Fitzgerald – Proceedings of ACL 2007 …, 2007 – acl.ldc.upenn.edu … Ted Briscoe and John Carroll. 2006. Evaluating the accuracy of an unlexicalized statistical parser on the PARC DepBank. … 1999. Robust grammatical analysis for spoken dialogue systems. Natural language engineering, 5 (1): 45– 93. 135 Cited by 16 Related articles All 31 versions

[PDF] from pitt.edu [PDF] A clustering approach to semantic decoding H Ye, S Young – Proc. of the Ninth International Conference on Spoken …, 2006 – cs.pitt.edu … 1. Introduction Spoken dialogue systems require robust decoders to extract the required semantic information from the automatically recognised user inputs. … Furthermore, the approach works surpris- ingly well, outperforming our best statistical parser on the ATIS corpus. … Cited by 11 Related articles All 6 versions

[PDF] from univ-avignon.fr On the use of finite state transducers for semantic interpretation C Raymond, F Bechet, R De Mori, G Damnati – Speech Communication, 2006 – Elsevier … The dialogue corpus used for training and evaluating these algorithms is made of dialogue traces of the France Telecom R&D spoken dialogue system PlanResto (Sadek et al., 1996) which is a booking restaurant application. … Cited by 45 Related articles All 7 versions

[PDF] from upenn.edu [PDF] Active learning for statistical natural language parsing M Tang, X Luo, S Roukos – … of the 40th Annual Meeting on …, 2002 – acl.ldc.upenn.edu … In our setup, we assume that a small amount of annotated sentences is initially available, which is used to build a statistical parser. … Active learning results on the shallow se- mantic parser of an air travel dialog system are presented 1A sample means a sentence in this paper. … Cited by 125 Related articles All 49 versions

In context: Integrating domain-and situation-specific knowledge R Porzel, I Gurevych, R Malaka – … of Multimodal Dialogue Systems, 2006 – Springer … MJ Collins. A New Statistical Parser Based on Bigram Lexical Dependencies. In: Proc. 34th ACL, pp. … 58–67, Aalborg, Denmark, September, 1-2 2001. R. Engel. SPIN: Language Understanding for Spoken Dialogue Systems Using a Production System Approach. In: Proc. … Cited by 11 Related articles All 2 versions

[PDF] from sabanciuniv.edu Using semantic analysis to improve speech recognition performance H Erdogan, R Sarikaya, SF Chen, Y Gao… – Computer Speech & …, 2005 – Elsevier … is used at IBM for natural language understanding for spoken dialog systems ( [Ward, 2000] and [Davies et al., 1999]). Statistical parsing requires an annotated training corpus of in-domain sentences which is used to train parser probabilities. Our statistical parser is based on … Cited by 24 Related articles All 13 versions

[PDF] from usyd.edu.au [PDF] Hat Categories: Representing Form and Function Simultaneously in Combinatory Categorial Grammar M Honnibal – 2010 – it.usyd.edu.au Page 1. Hat Categories: Representing Form and Function Simultaneously in Combinatory Categorial Grammar Matthew Honnibal Doctor of Philosophy School of Information Technologies The University of Sydney 2010 Page 2. Page 3. 3 Abstract … Cited by 1 Related articles All 2 versions

Automated grammatical error detection for language learners C Leacock, M Chodorow, M Gamon… – Synthesis lectures on …, 2010 – 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 34 Related articles All 10 versions

[PDF] from ncku.edu.tw Edit disfluency detection and correction using a cleanup language model and an alignment model JF Yeh, CH Wu – Audio, Speech, and Language Processing, …, 2006 – ieeexplore.ieee.org … The statistical parser and the parameters estimated by boosting are employed to detect and correct the disfluency. … Projects/MDE [6] C.-H. Wu and G.-L. Yan, “Speech act modeling and verification of spontaneous speech with disfluency in a spoken dialogue system,” IEEE Trans. … Cited by 16 Related articles All 6 versions

[PDF] from aaaipress.org Natural language assistant: A dialog system for online product recommendation J Chai, V Horvath, N Nicolov, M Stys, N Kambhatla… – AI Magazine, 2002 – aaai.org … TANT (NLA), a web-based natural language dialog system to help users find relevant products on electronic-commerce sites. … NLA uses a shallow statistical parser to identify expressions in a user input referring to product specifications (for example, CPU speed, hard- disk … Cited by 26 Related articles BL Direct All 15 versions

[PDF] from psu.edu A maximum-entropy Chinese parser augmented by transformation-based learning P Fung, G Ngai, Y Yang, B Chen – ACM Transactions on Asian Language …, 2004 – dl.acm.org … This article describes a character-based statistical parser, which gives the best performance to-date on the Chinese treebank data. … so that we can build intelligent computer systems, eg, machine-translation systems, speech- recognition systems, and automatic dialog systems. … Cited by 36 Related articles All 6 versions

Sequential dependency analysis for online spontaneous speech processing T Oba, T Hori, A Nakamura – Speech Communication, 2008 – Elsevier … online applications. Online processing is indispensable for advanced speech applications such as simultaneous speech translation, real-time captioning with speech summarization, and human-like dialog systems. For example … Cited by 2 Related articles All 3 versions

[PDF] from upenn.edu Discriminative reranking for natural language parsing M Collins, T Koo – Computational Linguistics, 2005 – MIT Press … In the ideal case, the designer of a statistical parser would be able to easily add features to the model … the NLP literature.) Similar methods have also been proposed for machine translation (Och and Ney 2002) and language understanding in dialogue systems (Papineni, Roukos … Cited by 567 Related articles BL Direct All 62 versions

[PDF] from berkeley.edu [PDF] Statistical NLP PS Parsing – 2007 – cs.berkeley.edu … NLP research, including: ? Natural language database systems ? A lot of early NLP work on these ? Spoken dialog systems ? Currently very … is needed: SMART paragraph retrieval ? Large taxonomy of question types and expected answer types is crucial ? Statistical parser used to … All 4 versions

[PDF] from upenn.edu Using application-specific ontologies to improve performance in a bottom-up parser M Gatius, M González – Proceedings of the Workshop KRAQ’06 on …, 2006 – dl.acm.org … The use of ontologies has proved specially ap- propriate for dialogue systems in complex do- mains (complex concepts and relations) as … Future work will include comparing the results obtained when using the parser described to those obtained when using a statistical parser. … Cited by 3 Related articles All 28 versions

[PDF] from upenn.edu [PDF] Sentence-internal prosody does not help parsing the way punctuation does M Gregory, M Johnson, E Charniak – Proc. NAACL, 2004 – acl.ldc.upenn.edu … Given the complexity of the dy- namic programming algorithms used by the parser, it would be a major research undertaking to develop a statistical parser of the same quality as the one used here that is capable of using both … Using prosodic cues in spoken dialog systems. … Cited by 22 Related articles All 32 versions

[PDF] from upenn.edu [PDF] Robustness issues in a data-driven spoken language understanding system Y He, S Young – Proceedings of the HLT/NAACL workshop on …, 2004 – acl.ldc.upenn.edu … It thus remains an open issue as to how to provide robustness for large populations of non- expert users in spoken dialogue systems. … 4.3 Experiments To test the portability of the statistical parser, the initial experiments reported here are focussed on assessing the adaptability of … Cited by 12 Related articles All 31 versions

Error correction via phonetic similarity-based processing for Chinese spoken dialogue system W Zhou, B Yuan, Z Miao, X Tang – Signal Processing, 2006 8th …, 2006 – ieeexplore.ieee.org … system? Dual (or multiple) processing of input by different methods and comparison of results offers the advantages of error detection and error correction. Therefore, future work will be focused on developing an effective error handling model and a more robust statistical parser … Cited by 1 Related articles

Open-domain question answering from large text collections M Pasca – Computational Linguistics, 2003 – MIT Press … A new statistical parser based on bigram lexical dependencies. … research on temporality and event structure includes the semantic interaction between telicity and aspectual interpretation and the representation of time in language for under- standing in spoken dialog systems. … Cited by 55 Related articles All 2 versions

[PDF] from univ-avignon.fr Detecting and extracting named entities from spontaneous speech in a mixed-initiative spoken dialogue context: How May I Help You?< sup> sm, tm</sup> F Béchet, AL Gorin, JH Wright, D Hakkani Tür – Speech Communication, 2004 – Elsevier … Abstract. The understanding module of a spoken dialogue system must extract, from the speech recognizer output, the kind of request expressed by the caller (the call type) and its parameters (numerical expressions, time expressions or proper-names). … Cited by 35 Related articles All 5 versions

A comparison of rule-based and statistical methods for semantic language modeling and confidence measurement R Sarikaya, Y Gao, M Picheny – Proceedings of HLT-NAACL 2004: Short …, 2004 – dl.acm.org … One of the main issues with spoken dialog systems is the lack of sufficient carefully transcribed domain spe- cific training data. … The decision tree based statistical parser uses training data to assign probabilities to each node and extension in a parse tree. … Cited by 8 Related articles All 2 versions

[PDF] from ohio.edu MARS: A statistical semantic parsing and generation-based multilingual automatic translation system Y Gao, B Zhou, Z Diao, J Sorensen, M Picheny – Machine Translation, 2002 – Springer … for the IBM DARPA Communicator project (Luo et al., 2000; Visweswariah and Printz, 2001), a monolingual conversational dialog system; however, significant … our recognizer has the ability to produce N-best hypothesis lists that can be post-processed by the statistical parser. … Cited by 29 Related articles BL Direct All 10 versions

[PDF] from cuc.edu.cn Mining Diagnostic Text Reports by Learning to Annotate Knowledge Roles E Mustafaraj, M Hoof, B Freisleben – … Language Processing and …, 2006 – books.google.com … text in terms of frames and roles would contribute to many applications, like question answering, information extraction, semantic dialogue systems, as well … Sleepy Parser-This parser has been speci?cally tuned for the German language, and while it is a statistical parser like the … Cited by 6 Related articles All 16 versions

[PDF] from upm.es Word level confidence measurement using semantic features R Sarikaya, Y Gao, M Picheny – Acoustics, Speech, and Signal …, 2003 – ieeexplore.ieee.org … domain dialog systems. Domain independent statistical semantic classers and parsers are not feasible to develop due to the possibly unlimited number of concepts that may occur in a domain independent task. Like any other statistical system, our statistical parser and classer … Cited by 15 Related articles All 4 versions

[PDF] from mirlab.org [PDF] Fast Semi-Automatic Semantic Annotation for Spoken Dialog Systems R Sarikaya, Y Gao, P Virga – Proc. Interspeech-2004, 2004 – mirlab.org … Our baseline system is a decision tree based statistical parser that is trained using manually annotated data. … However, there are cases where one has to deploy a spoken dialog system within a given time frame where speed is the main concern. … Cited by 3 Related articles All 7 versions

[PDF] from rochester.edu [PDF] Semi-automatic syntactic and semantic corpus annotation with a deep parser M Swift, M Dzikovska, J Tetreault, JF Allen – LREC’04, 2004 – anon.cs.rochester.edu … 5. Conclusions and future work With this technique we will create annotated corpora for multiple domains and use them to train a statistical parser. … Stent, A J., 2001. Dialogue Systems as Conversational Partners. Ph.D. thesis, U. Rochester. Cited by 9 Related articles All 22 versions

[PDF] from aclweb.org [PDF] Combining Confidence Scores with Contextual Features for Robust Multi-Device Dialogue L Cavedon, M Purver, F Ratiu, C Hall… – Proceedings of the …, 2005 – newdesign.aclweb.org … of this approach, we have observed sev- eral examples of the n-best list of inputs be- ing (correctly) re-ordered—ie after misclas- sification by the statistical parser, the candi … DIPPER: Description and formalization of an information-state update dialogue system ar- chitecture. … Cited by 2 Related articles All 32 versions

[TXT] from aclweb.org [TXT] Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions} E Alfonseca, P Castells, M Okumura… – Proceedings of the …, 2006 – aclweb.org … carroll:2006:POS, author = {Briscoe, Ted and Carroll, John}, title = {Evaluating the Accuracy of an Unlexicalized Statistical Parser on the … Jui-Feng and Wu, Chung-Hsien and Yang, Mao-Zhu}, title = {Stochastic Discourse Modeling in Spoken Dialogue Systems Using Semantic …

[PDF] from unito.it [PDF] Feeeding memes: a verbal communication challenge M Simi, V Tomatis – 2006 – mobileguide06.di.unito.it … State of the art technology in natural language understanding is simply not good enough and dialogue systems with bots and digital agents … We have developed our own set of linguistic tools and in particular a language independent statistical parser which is quite efficient and … Related articles

[PDF] from piconepress.com [PDF] A robust architecture for human language technology systems T Stanley – 2006 – isip.piconepress.com … memorable. I sincerely thank the Center for Advanced Vehicular System (CAVS) for funding and supporting the In-Vehicle Dialog Systems project. Page 8. iv TABLE OF CONTENTS Page … 50 4.1.4 Dialog System-Speech Mode Experiment ….. 51 … Related articles All 8 versions

[PDF] from psu.edu [PDF] Constraint-Based Processing for Discourse Anaphor Resolution DK Byron, VMSH Lee, V Metcalf – Constraints in Discourse July 7–9, 2006 …, 2006 – Citeseer … Michael Collins. A new statistical parser based on bigram lexical dependencies. … Page 51. Arne Jönsson and Nils Dahlbäck. Distilling dialogues-a method using natural dialogue corpora for dialogue systems development. In Proceedings of ACL’00, Seattle, Washington, 2000. … Related articles All 4 versions

[PDF] from mirlab.org Contextual maximum entropy model for edit disfluency detection of spontaneous speech JF Yeh, CH Wu, WY Wu – Chinese Spoken Language Processing, 2006 – Springer … One of the most critical problems in spoken dialog systems is the prevalence of speech disfluencies, such as hesitation, false starts, self-repairs … using an edit word detector to remove edit words or fillers from the sentence string, and adopted a standard statistical parser to parse … Related articles BL Direct All 4 versions

[PDF] from aclweb.org Semantic role labeling M Palmer, D Gildea, N Xue – Synthesis Lectures on Human …, 2010 – morganclaypool.com … Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2010 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenji Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 … Cited by 23 Related articles All 13 versions

[PDF] from mit.edu [PDF] Automatic correction of grammatical errors in non-native english text JSY Lee – 2009 – groups.csail.mit.edu Page 1. Automatic Correction of Grammatical Errors in Non-native English Text by John Sie Yuen Lee BMath in Computer Science, University of Waterloo (2002) SM in Electrical Engineering and Computer Science, Massachusetts Institute of Technology (2004) … Cited by 8 Related articles All 5 versions

[PS] from talvi.net [PS] Techniques for utterance disambiguation in a human-computer dialogue system P Lurcock – 2005 – talvi.net … sources is a statistical parser, augmented in a novel fashion to give it greater sensitivity 4 Page 19. to the current dialogue context. In this chapter I also describe sources which exist at the semantic and dialogue act levels. One of the advantages of a dialogue system is that, if the … Cited by 3 Related articles

[PDF] from dechelotte.com [PDF] Two-way speech-to-speech translation on handheld devices B Zhou, D Déchelotte, Y Gao – Proc. ICSLP, 2004 – dechelotte.com … The NLU module is based on the statistical parser em- ployed in IBM telephony natural language dialog systems [5]. This component utilizes statistical decision-tree models to de- termine the meaning and structure of the input utterance, which is achieved by assigning a … Cited by 24 Related articles All 13 versions

[PDF] from tudelft.nl [PDF] Modelling context in automatic speech recognition P Wiggers – 2008 – repository.tudelft.nl Page 1. Modelling Context in Automatic Speech Recognition PROEFSCHRIFT ter verkrijging van de graad van doctor aan de Technische Universiteit Delft, op gezag van de Rector Magnificus, prof. dr. ir. JT Fokkema, voorzitter … Cited by 6 Related articles All 9 versions

[PDF] from pitt.edu A hand-held speech-to-speech translation system B Zhou, Y Gao, J Sorensen… – … , 2003. ASRU’03. …, 2003 – ieeexplore.ieee.org … 3.2. Statistical Natural Language Understanding 667 The natural language understanding (NLU) module embed- ded within this hand-heldspeech translation system is based on the statistical parser employed in our telephony natural language dialogue systems [ 121. … Cited by 13 Related articles All 8 versions

[PDF] from uu.se [PDF] Data-driven Dependency Parsing for Romanian M Calacean – 2008 – numerus.lingfil.uu.se … sentence. Parsers, the modules that perform this process, are found in many different NLP applications, ranging from spoken dialog systems to informa- tion extraction and machine translation programs. The syntactic representation assigned to a sentence through parsing is … Cited by 2 Related articles All 6 versions

[PDF] from muni.cz [PDF] Syntactic analysis of natural languages based on context-free grammar backbone V Kadlec – MIS 2004, 2007 – is.muni.cz … If no complete parse is found for an input (eg from a speech recognizer in a dialogue system) a special technique is employed to efficiently retrieve a set of the most probable maximal sub- 24 Page 25. 3.2 3. PARSING SYSTEM WITH CONTEXTUAL CONSTRAINTS … Cited by 9 Related articles All 4 versions

[PDF] from psu.edu A dialogue-based knowledge authoring system for text generation A Knott, N Wright – AAAI Spring Symposium on Natural Language …, 2003 – aaai.org … We believe that a dialogue system is in fact the most natural medium by which an expert with no technical knowledge of KR and … Furthermore, many types of syntactic ambiguity are likely to be resolvable by consulting a statistical parser running in parallel with the sentence … Cited by 8 Related articles All 8 versions

[PDF] from psu.edu [PDF] State of the art on Semantic Question Answering V Lopez, E Motta, V Uren, M Sabou – 2007 – Citeseer … systems that deal with temporal reasoning, systems that fuse answers from different sources, interactive (dialog) systems and systems … In regards to semantics, it uses a subcategorization information automatically acquired from a big corpus, a statistical parser, and theWordNet … Related articles All 4 versions

[PDF] from nagoya-u.ac.jp Incremental dependency parsing based on headed context-free grammar Y Kato, S Matsubara, K Toyama… – Systems and Computers …, 2005 – Wiley Online Library Page 1. Incremental Dependency Parsing Based on Headed Context-Free Grammar Yoshihide Kato, 1 Shigeki Matsubara, 2 Katsuhiko Toyama, 3 and Yasuyoshi Inagaki 4 1 Graduate School of International Development, Nagoya University, Nagoya, 464-8601 Japan … Cited by 4 Related articles All 7 versions

[BOOK] Handbook of natural language processing and machine translation: DARPA global autonomous language exploitation J Olive, C Christianson, J McCary – 2011 – books.google.com … was aimed. For dictation, WER above 10 percent is not acceptable, but for a dialogue system, a much higher rate can be tolerated as long as the system can enable a user to complete a specific task successfully. Initial studies … Cited by 13 Related articles All 5 versions

[PDF] from brighton.ac.uk Efficient semantic parsing of conversational speech M Généreux – 2005 – eprints.brighton.ac.uk … Today, lower word error rate in speech technology, expertise gained in dialog management, more flexible natural language gen- eration and better speech synthesis allows us to take dialog systems to the next level … This section describes the statistical parser in some details. … Related articles All 12 versions

[PDF] from constraints-in-discourse.de [PDF] Doing things with meanings C Gardent – 2005 – constraints-in-discourse.de … A second use of meaning is found in dialogue systems where the system’s task consists in reacting to a user query … As [Bos, 2005] recently showed, it can also be applied to the output of a statistical parser provided the grammar used is lexicalised (rules are associated with words … Related articles

[PDF] from aclweb.org [PDF] Syntactic disambiguation using presupposition resolution A Knott, P Vlugter – Proceedings of the 4th Australasian Language …, 2003 – aclweb.org … 2 Presuppositional DRT in the Te Kaitito system Our sentence interpretation system is embedded in a larger human-machine dialogue system called Te Kaitito1 (see Knott et al (2002) for a general overview). … 1996. A new statistical parser based on bigram lexical dependencies. … Cited by 7 Related articles All 9 versions

[PDF] from dcu.ie Detecting grammatical errors with treebank-induced, probabilistic parsers J Wagner – 2012 – doras.dcu.ie Page 1. Detecting Grammatical Errors with Treebank-Induced, Probabilistic Parsers Joachim Wagner Magister Artium A dissertation submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy to the Dublin City University School of Computing … Cited by 1 Related articles All 3 versions

[PDF] from psu.edu [PDF] A Study on Question Answering System Using Integrated Retrieval Method H Hu – 2006 – Citeseer … 13 process may involve parsing the question with grammars of varying sophistica- tion. Harabagiu et al. (2000) use a wide-coverage statistical parser which aims to produce full parses. The constituent analysis of a question that it produces is … Cited by 2 Related articles All 5 versions

[PDF] from unive.it Semi-automatic techniques for extending the FrameNet lexical database to new languages S Tonelli – 2010 – dspace.unive.it … dialogs. I had the privilege to be introduced to the research field of spoken dialog systems and co-author papers with him and his valuable collaborators Alessandro Moschitti, Silvia Quarteroni, Marco Dinarelli and Sucheta Ghosh. … Related articles

[PDF] from upenn.edu Automatic labeling of semantic roles D Gildea, D Jurafsky – Computational Linguistics, 2002 – MIT Press … semantic level of interpretation has additional uses outside of gen- eralizing information extraction, question answering, and semantic dialogue systems. … a listing of Penn Treebank’s part-of-speech tags and constituent labels.) We used Collins’ (1997) statistical parser trained on … Cited by 1125 Related articles BL Direct All 99 versions

[PDF] Formal and empirical issues of applying dynamics to Tree Adjoining Grammars A Mazzei – Dipartimento di Informatica, Universitá degli studi di …, 2005 – Citeseer … Incrementality is a desirable feature in syntactic language modeling because an incremental statistical parser is able to assign probability to each prefix of a sentence. … The other task improved by an encoding of incrementality is the im- plementation of dialogue systems. … Cited by 12 Related articles All 5 versions

[PDF] from fcla.edu [PDF] Episodic Memory Model for Embodied Conversational Agents M Elvir – 2010 – etd.fcla.edu … 11 1.4. Dialog Systems and Embodied Conversational Agents ….. 13 … Page 24. 12 techniques, and 3) slow development of reasoning from natural language in dialog systems. From Wlodzislaw et al. … Related articles

[PDF] from rug.nl [PDF] Thin Parsing: A Balance between Wide Scale Parsing and Chunking J Patrick, PH Nguyen – Proceedings of the Australasian …, 2004 – acl.eldoc.ub.rug.nl … Collins M. 1996. A New Statistical Parser Based on Bigram Lexical Dependencies. … Machine Learning Lemon, O. 2004. Context sensitive speech recognition in ISU dialogue systems: Results for the grammar switching approach. Proc. … Related articles All 14 versions

[PDF] from psu.edu [PDF] Stochastic Template-based Surface Realization—RPE Report H Zhong – 2004 – Citeseer … They are largely used in real-time dialog systems, because they are usually fast and generation for dialog systems has historically been simpler than that for text [43]. … Mercury is a spoken dialog system that provides both voice-only and multi-modal interac- tion. … Related articles All 5 versions

[PDF] from psu.edu Efficient integrated response generation from multiple targets using weighted finite state transducers I Bulyko, M Ostendorf – Computer Speech & Language, 2002 – Elsevier … Abstract. In this paper, we describe how language generation and speech synthesis for spoken dialog systems can be efficiently integrated under a weighted finite state transducer architecture. … 2.1. Tying language generation and speech synthesis in dialog systems. … Cited by 22 Related articles BL Direct All 17 versions

[PDF] from ohio.edu A trainable approach for multi-lingual speech-to-speech translation system Y Gao, J Sorensen, H Erdogan, R Sarikaya… – Proceedings of the …, 2002 – dl.acm.org … When the automatic transcribed speech script is parsed, the statistical parser focuses on the meaningful phrases and automati- cally ignores irrelevant portions or out-of-domain … [11] R. Sarikaya et al, ‘Turn-based language modeling for spoken dialog systems,” in submitted to … Cited by 5 Related articles All 12 versions

[PDF] from psu.edu [PDF] Hidden markov model-based supertagging in a user-initiative dialogue system J Bäcker, K Harbusch – Prodeedings of the Sixth International TAG Plus …, 2002 – Citeseer … In J. Alexanderson, L. Ahrenberg, K. Jokinen and Jönsson, editors, Special Issue on Intelligent Dialogue Systems. ETAI (Electronic Transactions on Artificial Intelligence). Booth, Taylor L. 1969. … 1996. A New Statistical Parser Based on Bigram Lexical Dependencies. … Cited by 3 Related articles All 5 versions

[PDF] from uzh.ch [PDF] Knowledge Mining over Scientific Literature and Technical Documentation F Rinaldi – 2008 – files.ifi.uzh.ch Page 1. Knowledge Mining over Scientific Literature and Technical Documentation Fabio Rinaldi March 3, 2008 Page 2. Page 3. Contents 1 Introduction 15 1.1 Background . . . . . 21 1.2 Methodologies . . . . . 27 … Related articles All 7 versions

[PDF] from crpit.com [PDF] Aspects of automatic ontology extension: Adapting and regeneralizing dynamic updates E Ovchinnikova, KU Kuhnberger – ACM International Conference …, 2006 – crpit.com … 1 Introduction There is an increasing interest in applying and us- ing ontological knowledge in artificial intelligence. Examples for applications of ontologies in AI are expert systems, dialogue systems, robotics, reason- ing systems, web services, and text technological tools. … Cited by 5 Related articles All 8 versions

Results and Observations from the Evaluation of a Telephony-Based Conversational Information Retrieval System E Hartikainen, P Boda – ISCA Tutorial and Research Workshop on …, 2003 – isca-speech.org … defined how subjective measures correlate with objectively derived figures [5]. Utilization of PARADISE for multimodal dialogue system evaluation was … these basic concepts into the format understood by the backend database, followed by the statistical Parser which decides … Cited by 1 Related articles All 2 versions

[PDF] from washington.edu A bootstrapping approach to automating prosodic annotation for limited-domain synthesis I Bulyko, M Ostendorf – … Proceedings of 2002 IEEE Workshop on, 2002 – ieeexplore.ieee.org … tor: an architecture for dialogue systems,” in Proc. ICSLP, [ 131 A. Ratnaparkhi, “A maximum entropy part-of-speech tag- ger,” in Proc. Empirical Methods in Natural Language Pro- cessing Conference, 1996, pp. 133-141. [14] M. Collins, “A new statistical parser based on bigram … Cited by 10 Related articles All 10 versions

[PDF] from aaaipress.org A method for comparing fluency measures and its application to its natural language question generation R Wilson – Proceedings of AAAI Spring Symposium on Natural …, 2003 – aaai.org … and questions (Wisniewski 1995, p.2). Question asking, then, may be an important theoretical issue in the design of tutorial dialogue systems. … generation combined statistics from a bi-gram statistical language model (BSLM) and scores produced by a statistical parser (ESLM, for … Cited by 1 Related articles All 4 versions

[PDF] from cmu.edu Prominence prediction for supersentential prosodic modeling based on a new database JY Zhang, AR Toth, K Collins-Thompson… – Fifth ISCA Workshop …, 2004 – isca-speech.org … context, be that a dialog system or longer prose, the limita- tions in prosodic continuity become clear. … We found likely modifier words by first parsing the text using a statistical parser [8]. From the parse, we selected all multi-word noun phrases whose headwords were topic words … Cited by 7 Related articles All 12 versions

Robust voice command understanding and error tolerance algorithm based on word graph expansion J Chen, J Li, Z Wang – Tsinghua Science and Technology, 2003 – ieeexplore.ieee.org … The thoughtful elephant; Strategies for spoken dialog systems. IEEE Transactions of Acoustic, Speech, and Signal Processing, 2000, 8 (1): 51-62. [5] Zue V, Seneff S, Glass JR, et al. … [8] Li Juanzi, Wang Zuoying. Chinese statistical parser based on semantic dependencies. … Cited by 1 Related articles BL Direct All 2 versions

[PDF] from nagoya-u.ac.jp Robust dependency parsing of spontaneous Japanese spoken language S MATSUBARA, N KAWAGUCHI… – IEICE transactions on …, 2005 – search.ieice.org … 2. Most spoken dialogue systems is at least currently used for the specific task-domain such as in-car speech for which our parsing experiment was conducted. … [3] M. Collins, “A new statistical parser based on bigram lexical depen- dencies,” Proc. … Cited by 7 Related articles BL Direct All 14 versions

Chinese statistical parser based on semantic dependencies J Li, Z Wang – Tsinghua Science and Technology, 2002 – ieeexplore.ieee.org … 9]. The first difference is that the current model analyzes the sentence structure using semantic dependencies, so that it can understand the sentence meaning which is very important for a parser model in a specific dialog system. … [3] Collins M. A new statistical parser based on … Cited by 2 Related articles BL Direct

Natural Language Understanding DGD Jurafsky – Exploring Artificial Intelligence In The New …, 2003 – books.google.com … Our shallow semantic level of interpretation can be used for many purposes besides generalizing information extraction and semantic dialogue systems. … 2%), and sentential clauses (SBAR, 2%, and S, 2%). We used the parser of Collins (1997), a statistical parser trained on … Related articles All 2 versions

[PDF] from washington.edu [PDF] Moving beyond the lexical layer in parsing conversational speech JG Kahn – 2005 – crow.ee.washington.edu Page 1. Moving Beyond the Lexical Layer in Parsing Conversational Speech Jeremy Gillmor Kahn A thesis submitted in partial fulfillment of the requirements for the degree of Master of Arts University of Washington 2005 Program Authorized to Offer Degree: Linguistics Page 2. … Cited by 7 Related articles All 9 versions

[PDF] from nus.edu [PDF] Corpus-trained text generation for summarization MY Kan, KR McKeown – Proceedings of INLG 2002, 2002 – comp.nus.edu … In Proc. 12th Intl. Conf. on Machine Learning, pages 115–123. Morgan Kaufmann. Michael John Collins. 1996. A new statistical parser based on bigram lexical dependencies. In Proc. of the 34th ACL, Santa Cruz. Edward T. Cremmins. 1982. Art of Abstracting. ISI Press. … Cited by 14 Related articles All 21 versions

[PDF] from upenn.edu [PDF] Robust semantic role labeling using parsing variations and semantic classes S Yi – 2007 – seas.upenn.edu Page 1. ROBUST SEMANTIC ROLE LABELING USING PARSING VARIATIONS AND SEMANTIC CLASSES Szu-ting Yi A DISSERTATIQN In Computer and Information Science Presented to the Faculties of the University of … Cited by 1 Related articles All 8 versions

[PDF] from hemming.se [PDF] Context tracking in monitoring systems: Verbmobil C Hemming – 2002 – hemming.se … People tend to express themselves in a very “free” way, using linguistic shortcuts, ambiguous phrases, etc. It is thus important that even suboptimal sentence hypotheses can be handled by a dialogue system. … Chunk Parser Chunk Parser Statistical Parser Statistical Parser … All 4 versions

Conversational natural language understanding interfacing city event information M Mast, T Ross, H Schulz, H Harrikari… – Data & Knowledge …, 2002 – Elsevier … 2.2.1. Classer. The classer identifies simple semantic concepts of an utterance. Usually the assigned expressions of these concepts are used as parameters to set up a backend request. The classing is done with a statistical parser trained on corpora of annotated sentences. … Related articles All 4 versions

[PDF] from sail-technology.com [PDF] A Maximum Entropy Semantic Parser Using Word Classes N Pfannerer – Seventh International Conference on Spoken …, 2002 – sail-technology.com … Page 4. 6. EXPERIMENTAL RESULTS An important question is how to evaluate a statistical parser. … In a spoken dialog system, depending on the application and on the dialog design, it is often only relevant whether a label appear and not which words are associated with it. … Related articles All 3 versions

[PDF] from littlepo.com [PDF] ROBUST SEMANTIC ROLE LABELING USING PARSING VARIATIONS AND SEMANTIC CLASSES Szu-ting Yi MS Palmer – 2007 – littlepo.com … This problem is also addressed within the develop- ment of TRIPS (Allen et al., 2001). TRIPS is a spoken dialogue system that has been implemented for various domains; it performs spontaneous interactions with users who stay focused on the task in question. … Related articles All 3 versions

[PDF] from uoit.ca [PDF] ? ? ? ? ? ??? ? ?? ? ?? ? ?? ??? ? ?? ? C Collins – 2004 – faculty.uoit.ca … Keith Hall suggested the training and test data for this work, and helped me obtain the necessary tools for evaluation. This work builds upon the lexicalized head-driven statistical parser presented in Michael Collins’ PhD thesis. … Related articles All 4 versions

[PDF] from cmu.edu [PDF] Modeling syntax for parsing and translation P Venable – 2003 – ra.adm.cs.cmu.edu … training data derived from an existing parser, we will train the model, and then test this new statistical parser by comparing its … and language modeling for tasks such as speech recognition, to natural language un- derstanding tasks, including dialog systems, command systems … Cited by 5 Related articles All 17 versions

[PDF] from uva.nl A consistent and efficient estimator for the data-oriented parsing model A Zollmann – 2004 – dare.uva.nl … Usually, a statistical parser utilizes an underlying probability distribution over the set of possible parse trees, according to which it chooses the most probable parse tree(s) for a given input sentence as the preferred one(s). This probability distribution is often determined by a … Cited by 6 Related articles All 15 versions