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Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator
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In: DTIC (2004)
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Abstract:
Until recently. surface generation in dialogue systems has served the purpose of simply providing a backend to other areas of research. The generation component of such systems usually consists of templates and canned text, providing inflexible, unnatural output. To make matters worse, the resources are typically specific to the domain in question and not portable to new tasks. In contrast, domain-independent generation systems typically require large grammars, full lexicons, complex collocational information, and much more. Furthermore, these frameworks have primarily been applied to text applications and it is not clear that the same systems could perform well in a dialogue application. This paper explores the feasibility of adapting such systems to create a domain-independent generation component useful for dialogue systems. It utilizes the domain independent semantic form of The Rochester Interactive Planning System (TRIPS) with a domain independent stochastic surface generation module. We show that a written text language model can be used to predict dialogue utterances from an over-generated word forest. We also present results from a human oriented evaluation in an emergency planning domain. ; Presented at the SIGdial Workshop on Discourse and Dialogue (5th), held in Boston, MA on 30 Apr-1 May 2004. Pub. in the Proceedings of the SIGdial Workshop on Discourse and Dialogue (5th), 2004.
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Keyword:
*DIALOGUE SYSTEMS; *DOMAIN INDEPENDENT GENERATORS; *KNOWLEDGE BASED SYSTEMS; *LANGUAGE TRANSLATION; *SEMANTICS; *STOCHASTIC LANGUAGE GENERATION; *STOCHASTIC PROCESSES; *TEXT PROCESSING; COMPUTATIONAL LINGUISTICS; COMPUTER LOGIC; CORPORA; Cybernetics; HALOGEN; Information Science; Linguistics; MATHEMATICAL MODELS; MODULES(ELECTRONICS); NATURAL LANGUAGE; NLG(NATURAL LANGUAGE GENERATION); SURFACE GENERATION; TEMPLATES; TEST AND EVALUATION; TRIPS(THE ROCHESTER INTERACTIVE PLANNING SYSTEM); VOCABULARY; VOICE COMMUNICATIONS
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460935
http://www.dtic.mil/docs/citations/ADA460935
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| 2 |
Learning Translation Templates From Bilingual Translation Examples
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In: http://www.cs.bilkent.edu.tr/~ilyas/PDF/appint2001.pdf (2000)
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When is an Embedded MT System 'Good Enough' for Filtering?
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In: DTIC (2000)
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| 4 |
Learning Translation Templates from Examples
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In: http://www.cs.bilkent.edu.tr/~ilyas/PDF/infosys98.pdf (1998)
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Enhancing Automatic Acquisition of Thematic Structure in a Large-Scale Lexicon for Mandarian Chinese
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In: DTIC (1998)
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Translating English and Mandarin Verbs with Argument Structure (Mis)matches Using LCS Representation
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In: DTIC (1998)
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BBN: Description of the PLUM System as Used for MUC-5
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In: DTIC (1993)
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BBN's PLUM Probabilistic Language Understanding System
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In: DTIC (1993)
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BBN: Description of the PLUM System as Used for MUC-4
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In: DTIC (1992)
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BBN: Description of the PLUM System as Used for MUC-3
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In: DTIC (1991)
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