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Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
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In: DTIC (2013)
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Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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A Journey in Entity Related Retrieval for TREC 2009
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In: DTIC (2009)
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Lucene for n-grams using the ClueWeb Collection
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In: DTIC (2009)
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BIT at TREC 2009 Faceted Blog Distillation Task
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In: DTIC (2009)
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IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
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In: DTIC (2009)
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POSTECH at TREC 2009 Blog Track: Top Stories Identification
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In: DTIC (2009)
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PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
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In: DTIC (2009)
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Novel Topic Impact on Authorship Attribution
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In: DTIC (2009)
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Experiments on Related Entity Finding Track at TREC 2009
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In: DTIC (2009)
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Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
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In: DTIC (2009)
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Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
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In: DTIC (2007)
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Techniques for Automatically Generating Biographical Summaries from News Articles
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In: DTIC (2007)
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Effectively Using Syntax for Recognizing False Entailment
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In: DTIC (2006)
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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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Development and Evaluation of a Korean Treebank and its Application to NLP
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In: DTIC (2002)
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NTCIR CLIR Experiments at the University of Maryland
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In: DTIC (2000)
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The Bible, Truth, and Multilingual OCR Evaluation
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In: DTIC (1998)
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