TAILIEUCHUNG - Báo cáo khoa học: "Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding"

We present a model of semantic processing of spoken language that (a) is robust against ill-formed input, such as can be expected from automatic speech recognisers, (b) respects both syntactic and pragmatic constraints in the computation of most likely interpretations, (c) uses a principled, expressive semantic representation formalism (RMRS) with a well-defined model theory, and (d) works continuously (producing meaning representations on a wordby-word basis, rather than only for full utterances) and incrementally (computing only the additional contribution by the new word, rather than re-computing for the whole utterance-so-far). We show that the joint satisfaction of syntactic and pragmatic. | Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding Andreas Peldszus University of Potsdam Department for Linguistics peldszus@ Okko BuB University of Potsdam Department for Linguistics okko@ Timo Baumann University of Hamburg Department for Informatics baumann@ David Schlangen University of Bielefeld Department for Linguistics Abstract We present a model of semantic processing of spoken language that a is robust against ill-formed input such as can be expected from automatic speech recognisers b respects both syntactic and pragmatic constraints in the computation of most likely interpretations c uses a principled expressive semantic representation formalism RMRS with a well-defined model theory and d works continuously producing meaning representations on a word-by-word basis rather than only for full utterances and incrementally computing only the additional contribution by the new word rather than re-computing for the whole utterance-so-far . We show that the joint satisfaction of syntactic and pragmatic constraints improves the performance of the NLU component around 10 absolute over a syntax-only baseline . 1 Introduction Incremental processing for spoken dialogue systems i. e. the processing of user input even while it still may be extended has received renewed attention recently Aist et al. 2007 Baumann et al. 2009 BuB and Schlangen 2010 Skantze and Hjalmarsson 2010 DeVault et al. 2011 Purver et al. 2011 . Most of the practical work however has so far focussed on realising the potential for generating more responsive system behaviour through making available processing results earlier e. g. Skantze and Schlangen 2009 but has otherwise followed a typical pipeline architecture where processing results are passed only in one direction towards the next module. In this paper we investigate whether the other potential

• Báo cáo khoa học
• Joint Satisfaction of Syntactic
• Pragmatic Constraints Improves Incremental Spoken Language Understanding
• Andreas Peldszus
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln