Probabilistic Parser & Dialog Systems


Probabilistic Parser & Dialog Systems
Resources:

PCCG (Probabilistic Combinatory Categorial Grammar)

See also:

CFG (Context-free Grammar) Parsers | PCFG (Probabilistic Context Free Grammar) & Dialog Systems | PLSA (Probabilistic Latent Semantic Analysis) & Dialog Systems | Probabilistic Consistency Engine (PCE) | Probabilistic Graphical Models & Dialog Systems | Statistical Parser & Dialog Systems


[PDF] Transformation-based Learning for Semantic parsing F Jurcicek, M Gašic, S Keizer, F Mairesse, B Thomson… – 2009 – bcmi.sjtu.edu.cn … Note that modern statisti- cal dialogue systems typically exploit multiple ASR hypothe- ses. … technique has been used to model an approximation of a pushdown automaton with se- mantic concepts as non-terminal symbols [8, 9]. Second, a Probabilistic parser using Combinatory … Cited by 4 Related articles All 16 versions

[PDF] from usc.edu [PDF] Interpreting two-utterance requests in a spoken dialogue system I Zukerman, E Makalic, M Niemann – … Practical Dialogue Systems, …, 2009 – people.ict.usc.edu … a probabilistic mechanism for the in- terpretation of follow-up utterances developed for a spo- ken dialogue system mounted on an … The second stage iteratively considers the candidate texts in descending or- der of probability, applying Charniak’s probabilistic parser (ftp://ftp. cs. … Cited by 1 Related articles All 3 versions

Spoken Dialogue Systems K Jokinen, M McTear – Synthesis Lectures on Human …, 2009 – morganclaypool.com Page 1. Spoken Dialogue Systems Page 2. Page 3. iii Synthesis Lectures on Human … Series ISSN ISSN 1947-4040 print ISSN 1947-4059 electronic Page 5. Spoken Dialogue Systems Kristiina Jokinen University of Helsinki Michael McTear University of Ulster … Cited by 14 Related articles All 5 versions

[PDF] from elanguage.net [PDF] Concept type prediction and responsive adaptation in a dialogue system S Stoyanchev, A Stent – Dialogue & Discourse, 2012 – elanguage.net … Concept Type Prediction and Responsive Adaptation in a Dialogue System Svetlana Stoyanchev … Editor: Gregory Aist Abstract Responsive adaptation in spoken dialogue systems involves a change in dialogue system behavior in response to a user or a dialogue situation. … Cited by 1 Related articles All 2 versions

Data-Driven Methods for Spoken Language Understanding J Henderson, F Jur?ci?cek – … Adaptive Spoken Dialogue Systems: …, 2012 – books.google.com … cz O. Lemon and O. Pietquin (eds.), Data-Driven Methods for Adaptive Spoken Dialogue Systems, DOI 10.1007/978-1-4614 … A probabilistic parser using combinatory categorical grammar (PCCG) has been used to map utterances to lambda-calculus expressions that represent …

[PDF] from psu.edu A probabilistic approach to the interpretation of spoken utterances I Zukerman, E Makalic, M Niemann… – PRICAI 2008: Trends in …, 2008 – Springer … certainty associated with the options returned by the language interpretation module, and the decision procedures applied by the dialogue system. … The second stage applies Charniak’s probabilistic parser (ftp: //ftp.cs.brown.edu/pub/nlparser/) to generate parse trees from the … Cited by 10 Related articles All 9 versions

[PDF] from aclweb.org Interpreting pointing gestures and spoken requests: a probabilistic, salience-based approach I Zukerman, G Kowadlo, P Ye – … of the 23rd International Conference on …, 2010 – dl.acm.org … 1 Introduction DORIS (Dialogue Oriented Roaming Interactive System) is a spoken dialogue system designed for a household robot. … In the parsing stage, the texts are considered in descending order of probability. Charniak’s probabilistic parser (ftp://ftp.cs. … Related articles All 8 versions

[CITATION] Transformation-Based Learning for Semantic Parsing F Jurcícek, M Gašic, S Keizer, F Mairesse, B Thomson… – Tenth Annual Conference of …, 2009 Related articles

[PDF] from liu.se [PDF] Speaking and pointing—from simulations to the laborator I Zukerman, A Mani, Z Li, R Jarvi – … in Practical Dialogue Systems, 2011 – ida.liu.se … In addition, our use of a probabilistic parser (in- stead of one based on a hand-crafted grammar) enables us to handle more complex utterances than those considered by most Spoken Dialogue Systems (SDSs)(Jokinen and McTear 2010), and our consideration of multiple … Cited by 1 Related articles

[PDF] from psu.edu [PDF] A spoken language interpretation component for a robot dialogue system E Makalic, I Zukerman, M Niemann – Interspeech, 2008 – Citeseer … Index Terms: speech understanding, probabilistic dialogue system, home environment 1. Introduction … Each text is assigned a score that reflects the probability of the words given the speech wave. The second stage applies Charniak’s probabilistic parser (ftp://ftp.cs. … Cited by 1 Related articles All 5 versions

[PDF] from dschmidt.org A probabilistic model for understanding composite spoken descriptions E Makalic, I Zukerman, M Niemann… – PRICAI 2008: Trends in …, 2008 – Springer … Abstract. We describe a probabilistic reference disambiguation mechanism de- veloped for a spoken dialogue system mounted on an autonomous robotic agent. … applies Charniak’s probabilistic parser (ftp://ftp.cs.brown.edu/pub/ nlparser/) to generate parse trees from the texts. … Cited by 5 Related articles All 10 versions

[PDF] from aclweb.org Capturing consistency between intra-clause and inter-clause relations in knowledge-rich dependency and case structure analysis D Kawahara, S Kurohashi – … of the 11th International Conference on …, 2009 – dl.acm.org … systems, a lot of effort has been made to develop world knowledge or inference knowledge. … In this table, “syn” represents the rule-based dependency parser, “syn+case” represents the probabilistic parser of syntactic and case structure (Kawahara and Kurohashi, 2006b)6, and … Related articles All 12 versions

[PDF] from monash.edu.au [PDF] Influence of Gestural Salience on the Interpretation of Spoken Requests G Kowadlo, P Ye, I Zukerman – Eleventh Annual Conference of …, 2010 – csse.monash.edu.au … In the second stage, Char- niak’s probabilistic parser (ftp://ftp.cs.brown.edu/pub/ nlparser/) is applied to the texts in descending order of … 8. References [1] E. Makalic, I. Zukerman, and M. Niemann, “A spoken language interpretation component for a robot dialogue system,” in Inter … Cited by 1 Related articles All 4 versions

[PDF] from liu.se [PDF] Building Modular Knowledge Bases for Conversational Agents D Macias-Galindo, L Cavedon… – … Practical Dialogue Systems, 2011 – ida.liu.se Proceedings of the 7th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, pages 16–23, Barcelona, July 2011 Building Modular Knowledge Bases for Conversational Agents Daniel Macias-Galindo and Lawrence Cavedon and John Thangarajah … Cited by 1 Related articles All 2 versions

[PDF] from monash.edu.au Using probabilistic feature matching to understand spoken descriptions I Zukerman, E Makalic, M Niemann – AI 2008: Advances in Artificial …, 2008 – Springer … This paper describes a reference disambiguation mechanism developed for the language interpretation module of a robot-mounted spoken dialogue system. … The second stage applies Char- niak’s probabilistic parser (ftp://ftp.cs.brown.edu/pub/nlparser/) to gener- ate parse … Cited by 3 Related articles All 7 versions

[PDF] from uni-saarland.de Linking flat predicate argument structures F Xu – 2011 – scidok.sulb.uni-saarland.de … Furthermore, a simple disambiguation method has been developed, which selects HPSG readings by using the parsing results of a probabilistic parser. … Verbmobil data has been used for the development of a speech-la-speech translation dialog system. … Cited by 1 Related articles All 3 versions

[PDF] from zcu.cz [PDF] Stochastic Semantic Analysis I Habernal – 2009 – kiv.zcu.cz … Abstract In human-computer dialogue systems, the task of Spoken Language Un- derstanding (SLU) system is to process the input acoustic utterance and transform it into a semantic representation. The goal of semantic analysis is to represent what the subject intended to say. … Related articles

[PDF] from unam.mx [PDF] Specification and interpretation of multimodal dialogue models for human-robot interaction LA Pineda – … Intelligence for Humans: Service Robots and …, 2008 – leibniz.iimas.unam.mx Page 1. Specification and interpretation of multimodal dialogue models for human-robot interaction Luis A. Pineda Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) Universidad Nacional Autónoma … Cited by 7 Related articles All 2 versions

Combining probabilistic reference resolution with simulated vision I Zukerman, E Makalic… – Intelligent Sensors, Sensor …, 2008 – ieeexplore.ieee.org … Abstract We describe a probabilistic reference disambiguation mecha- nism developed for a spoken dialogue system mounted on an autonomous robotic agent. … applies Charniak’s probabilistic parser (ftp: //ftp.cs.brown.edu/pub/nlparser/) to generate parse trees from the texts. … Cited by 1 Related articles

[PDF] from ueab.ac.ke [PDF] Computers and their suitability for second and foreign language error correction KA Livingstone, T Campus, ECD Turkeyen… – … Research Journal (BIRJ …, 2011 – ueab.ac.ke … simultaneous co-occurrence in a text. This kind of parser is called a probabilistic parser (Smith, 1991). … CALL applications, grammar and articles of other writers, translation software, dialogue systems, document retrieval and automatic extracting of main ideas. … Related articles All 3 versions

[PDF] from upenn.edu Hybrid parsing: Using probabilistic models as predictors for a symbolic parser KA Foth, W Menzel – Proceedings of the 21st International Conference …, 2006 – dl.acm.org … of data collections, which due to the necessary annotation effort are available in vastly different amounts: While train- ing a probabilistic parser or a … To gain a benefit from such con- textual cues, eg in a dialogue system, requires to integrate yet another kind of external information … Cited by 27 Related articles BL Direct All 21 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 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 jair.org Training a multilingual sportscaster: Using perceptual context to learn language DL Chen, J Kim, RJ Mooney – Journal of Artificial Intelligence Research, 2010 – aaai.org … A probabilistic parser is then produced by training a maximum-entropy model using EM to learn parameters for each of these SCFG productions, similar to the methods used by Riezler, Prescher, Kuhn, and Johnson (2000), and Zettlemoyer and Collins (2005). … Cited by 24 Related articles All 15 versions

[PDF] from psu.edu [PDF] Considering multiple options when interpreting spoken utterances S George, I Zukerman, M Niemann… – … Practical Dialogue Systems …, 2007 – Citeseer … It is widely accepted that spoken dialogue systems are more prone to misinterpretations and partial interpretations than text-based systems. … The word sequences are then parsed using a probabilistic parser, which generates a set of Parse Trees.2 The last two stages of the … Cited by 2 Related articles All 7 versions

[PDF] from monash.edu.au Hypothesis generation and maintenance in the interpretation of spoken utterances M Niemann, I Zukerman, E Makalic… – AI 2007: Advances in …, 2007 – Springer … The authors also thank Eugene Charniak for his modifications to his probabilistic parser. References … In: IJCAI 2005. Proceedings of the fourth workshop on knowledge and reasoning in practical dialogue systems, Edinburgh, Scotland, pp. … Cited by 1 Related articles BL Direct All 7 versions

[TXT] from aclweb.org [TXT] ACL 2007 Workshop on Deep Linguistic Processing} J Chen-Main, A Joshi, S Clark, J Curran… – ACL 2007 Workshop on …, 2007 – aclweb.org … and Dzikovska, Myroslava and Manshadi, Mehdi and Swift, Mary}, title = {Deep Linguistic Processing for Spoken Dialogue Systems}, booktitle = {ACL … III, John T.}, title = {Pruning the Search Space of a Hand-Crafted Parsing System with a Probabilistic Parser}, booktitle = {ACL …

[PDF] from mit.edu MOOIDE: natural language interface for programming MOO environments M Ahmad – 2008 – dspace.mit.edu … When you empty the oven, ,7/ D]: Figure 3: MOOIDE Interface Users interact with the natural language dialog system on the left window and they can test the described world in a MOO simulation inside the window on the upper right. The window … Cited by 1 Related articles All 2 versions

[PDF] from monash.edu.au [PDF] Towards a probabilistic, multi-layered spoken language interpretation system M Niemann, S George… – … Practical Dialogue Systems, 2005 – csse.monash.edu.au … 1 Introduction We present a preliminary report of a probabilistic spoken- language interpretation mechanism that is part of a dialogue system for an office assistant robot called DORIS (Dialogue Oriented Roaming … Pi {ParseTr Text) is returned by the probabilistic parser. … Cited by 7 Related articles All 6 versions

[PDF] from dcu.ie Treebank-based acquisition of Chinese LFG Resources for Parsing and Generation Y Guo – 2009 – doras.dcu.ie Page 1. Treebank-Based Acquisition of Chinese LFG Resources for Parsing and Generation Yuqing Guo A dissertation submitted in fulfillment of the requirements for the award of Doctor of Philosophy to the Dublin City University School of Computing … Cited by 7 Related articles All 3 versions

[PDF] from upenn.edu Discriminative reranking for natural language parsing M Collins, T Koo – Computational Linguistics, 2005 – MIT Press … This article considers approaches which rerank the output of an existing probabilistic parser. … in the NLP literature.) Similar methods have also been proposed for machine translation (Och and Ney 2002) and language understanding in dialogue systems (Papineni, Roukos, and … Cited by 567 Related articles BL Direct All 62 versions

[PDF] from sfu.ca [PDF] Use of Montague and Montague-like Compositional Semantics in Natural Language Database Query Processing M Roy – 2008 – cs.sfu.ca … [Miller, Fox, Ramshaw and Weischedel , 2000] introduce a statistical, context- free probabilistic parser for information extraction which shows a significant increase in parsing accuracy . … of the user. Most of the current task-oriented dialogue systems interpret user utterances by … Related articles All 5 versions

[PDF] from mit.edu Automatic lexical pronunciations generation and update GF Choueiter, S Seneff, JR Glass – … Speech Recognition & …, 2007 – ieeexplore.ieee.org … used a bottom-up subword framework, our system uses a top-down probabilistic parser that encodes pronunciation in the pre-terminal … 15] AH Gruenstein and S. Seneff, “Context-sensitive language modeling for large sets of proper nouns in multimodal dialogue systems,” in Proc … Cited by 3 Related articles All 11 versions

[PDF] from psu.edu Probabilistic, multi-staged interpretation of spoken utterances I Zukerman, M Niemann… – … Intelligence for Modelling, …, 2006 – ieeexplore.ieee.org … Abstract We describe Scusi?, a multi-stage, spoken language in- terpretation mechanism designed to be part of a robot- mounted dialogue system. … The word sequences are then parsed using a probabilistic parser,2 which gener- ates a set of Parse Trees. … Related articles BL Direct All 11 versions

[PDF] from shef.ac.uk [PDF] Towards a robotic dialogue system with learning and planning capabilities K Eliasson – … and Reasoning in Practical Dialogue Systems, 2005 – nlp.shef.ac.uk Page 6. Towards a Robotic Dialogue System with Learning and Planning Capabilities Karolina Eliasson Linkoping University Department of Computer and Information Science SE-581 83 Linkoping karel@ ida. liu. … The WITAS multi-modal dialogue system. … Cited by 2 Related articles All 19 versions

[PDF] from zcu.cz [PDF] Stochastic semantic parsing M Konopik – University of West Bohemia in Pilsen, Pilsen, Tech. …, 2006 – kiv.zcu.cz … about the meaning of the utterance). In this thesis, we concentrate on the spoken language dialogue systems (this work is a part of the project of City Information Dialogue (CID) sys- tem [Mou04]). A semantic analyzer of a spoken … Cited by 2 Related articles

[PDF] from elanguage.net [PDF] An incremental model of anaphora and reference resolution based on resource situations M Poesio, H Rieser – Dialogue & Discourse, 2011 – elanguage.net Page 1. Dialogue and Discourse 2(1) (2011) 235–277 doi: 10.5087/dad.2011.110 An Incremental Model of Anaphora and Reference Resolution Based on Resource Situations Massimo Poesio University of Essex and Universit`a di Trento Hannes Rieser Universität Bielefeld … Cited by 3 Related articles All 12 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 utexas.edu [BOOK] Learning for semantic parsing and natural language generation using statistical machine translation techniques YW Wong – 2007 – books.google.com … 9 Page 26. with various hypothetical travel planning scenarios to solve. The resulting spon- taneous spoken queries were recorded as the subjects interacted with automated dialog systems to solve the scenarios. The recorded … Cited by 7 Related articles All 23 versions

Domain knowledge acquisition and plan recognition by probabilistic reasoning M MARAGOUDAKIS, A THANOPOULOS… – … Journal on Artificial …, 2004 – World Scientific … The acquired information is incorporated into a natural language understanding agent and applied to DIKTIS, an existing web-based educational dialogue system for the chemotherapy of nosocomial and community acquired pneumonia, aiming at providing a more intelligent … Cited by 4 Related articles BL Direct All 2 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

[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 … These results are used as a base line for our research. However, they are still far from that of a good probabilistic parser (with over 70%). VP NP ADVP VP VP ! … Context sensitive speech recognition in ISU dialogue systems: Results for the grammar switching approach. Proc. … Related articles All 14 versions

[PDF] from uni-saarland.de [BOOK] Linguistically informed question answering G Fliedner – 2007 – coli.uni-saarland.de Page 1. Linguistically Informed Question Answering Gerhard Fliedner 21st March 2007 Page 2. ii Page 3. Zusammenfassung Question Answering hat in den letzten Jahren lebhaftes Interesse von Forschern in den Informationswissenschaften erfahren. … Cited by 6 Related articles

[PDF] from mq.edu.au [PDF] Evaluation of sentence grammaticality using Parsers and a Support Vector Machine A Mutton – 2006 – comp.mq.edu.au Page 1. Evaluation of sentence grammaticality using Parsers and a Support Vector Machine Andrew Mutton A thesis submitted in partial fulfillment of the degree of Bachelor of Computer Science (Honours) at Department of Computing Division of ICS Macquarie University … Cited by 2 Related articles All 3 versions

[PDF] from zubek.net [PDF] Hierarchical parallel markov models for interactive social agents R Zubek – 2005 – zubek.net … the larger structure of the interaction. Conversation trees, on the other hand, are similar to finite-state dialog systems; they represent structure in detail, but disallow free-form inputs. Their abilities to express complex behavior are limited. … Cited by 2 Related articles All 19 versions

[PDF] from pitt.edu Towards Visually-Grounded Spoken Language Acquisition D Roy – Proceedings of the 4th IEEE International Conference …, 2002 – dl.acm.org … Conversational robots and other multimodal situated spoken dialogue systems raise serious design challenges regarding the mappings between natural language … A probabilistic parser uses the noun phrase bigram lan- guage model from Stage 4 to identify noun phrases in the … Cited by 1 Related articles All 11 versions

[PDF] from uoit.ca [PDF] ? ? ? ? ? ??? ? ?? ? ?? ? ?? ??? ? ?? ? C Collins – 2004 – faculty.uoit.ca Page 1. ? ? ? ? ? ??? ? ?? ? ?? ? ?? ??? ? ?? ? by Christopher Collins A thesis submitted in conformity with the requirements for the degree of Master of Science Graduate Department of Computer Science University of Toronto Copyright c 2004 by Christopher Collins Page 2. ii … Related articles All 4 versions

[PDF] from psu.edu Grounding Natural Spoken Language Semantics in Visual Perception and Motor Control D Roy, KY Hsiao, P Gorniak, N Mukherjee – 2002 – aaai.org … Introduction Conversational robots and other multimodal situated spo- ken dialogue systems raise serious design challenges regard- ing the mappings … Stage 5: Grounding the Semantics of Spatial Terms A probabilistic parser uses the noun phrase bigram lan- guage model … Related articles All 8 versions

[PDF] from northwestern.edu [PDF] Twenty-Sixth Annual Conference of the Cognitive Science Society K Forbus, D Gentner, T Regier – 2004 – cs.northwestern.edu … Modeling Attachment Decisions with a Probabilistic Parser: The Case of Head Final Structures…..73 Ulrike Baldewein, Computational Psycholinguistics, Saarland University Frank Keller, School of Informatics, University of … Related articles All 2 versions

[PDF] from mit.edu [PDF] Towards a unified framework for sub-lexical and supra-lexical linguistic modeling X Mou – 2002 – sls.csail.mit.edu Page 1. Towards a Unified Framework for Sub-lexical and Supra-lexical Linguistic Modeling by Xiaolong Mou MS, Tsinghua University, Beijing, China (1998) BS, Tsinghua University, Beijing, China (1996) Submitted to the Department … Cited by 1 Related articles All 12 versions

[PDF] from sfu.ca [PDF] Extending a set-theoretic implementation of Montague Semantics to accommodate n-ary transitive verbs M Roy – 2005 – cs.sfu.ca Page 1. Extending a set-theoretic implementation of Montague Semantics to accommodate n-ary transitive verbs By Maxim Roy A Thesis Submitted to the Faculty of Graduate Studies and Research through the School of Computer Science … Cited by 1 Related articles All 5 versions

[PDF] from dtic.mil Project Listen Compute Show (LCS)-Marine V Zue, J Wroclawski, M Bolotski – 2004 – DTIC Document … An interesting research issue also addressed here is how the complex tasks of mixed-initiative dialogue systems should be partitioned into a … of our spoken language systems make use of TINA for natural language understanding [8]. TINA is a probabilistic parser which operates … Related articles All 2 versions