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Hits 21 – 40 of 149

21
Strengthening Homeland Security through Improved Foreign Language Capability
In: DTIC (2011)
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22
Evaluating Predictors of Foreign Language Learning
In: DTIC (2011)
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23
Special Operations Forces Language and Culture Needs Assessment: Defense Language Proficiency Test (DLPT)
In: DTIC (2010)
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24
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
In: DTIC (2009)
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25
A Journey in Entity Related Retrieval for TREC 2009
In: DTIC (2009)
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26
Lucene for n-grams using the ClueWeb Collection
In: DTIC (2009)
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27
BIT at TREC 2009 Faceted Blog Distillation Task
In: DTIC (2009)
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28
Proactive Intelligence (PAINT) Simulated Exploration of Executable Design Strategies (SEEDS)
In: DTIC (2009)
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29
IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
In: DTIC (2009)
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30
POSTECH at TREC 2009 Blog Track: Top Stories Identification
In: DTIC (2009)
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31
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
In: DTIC (2009)
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32
Novel Topic Impact on Authorship Attribution
In: DTIC (2009)
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33
Experiments on Related Entity Finding Track at TREC 2009
In: DTIC (2009)
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34
Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
In: DTIC (2009)
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35
Integrating Language and Cultural Knowledge into the Army Officer Corps
In: DTIC (2008)
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36
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
In: DTIC (2007)
Abstract: We describe a two-layer architecture for supporting semantic interpretation and domain reasoning in dialogue systems. Building systems that support both semantic interpretation and domain reasoning in a transparent and well-integrated manner is an unresolved problem because of the diverging requirements of the semantic representations used in contextual interpretation versus the knowledge representations used in domain reasoning. We propose an architecture that provides both portability and efficiency in natural language interpretation by maintaining separate semantic and domain knowledge representations, and integrating them via an ontology mapping procedure. The ontology mapping is used to obtain representations of utterances in a form most suitable for domain reasoners, and to automatically specialize the lexicon. The use of a linguistically motivated parser for producing semantic representations for complex natural language sentences facilitates building portable semantic interpretation components as well as connections with domain reasoners. Two evaluations demonstrate the effectiveness of our approach: we show that a small number of mapping rules is sufficient for customizing the generic semantic representation to a new domain, and that our automatic lexicon specialization technique improves parser speed and accuracy. ; Prepared in cooperation with the University of Edinburgh, UK. Sponsored in part by the Defense Advanced Research Projects Agency (DARPA).
Keyword: *KNOWLEDGE BASED SYSTEMS; *NATURAL LANGUAGE; *SEMANTICS; Computer Programming and Software; Information Science; LEXICOGRAPHY; LINGO-ERG GRAMMAR; Linguistics; MAN COMPUTER INTERFACE; MRS COMPUTER PROGRAM; ONTOLOGY; PARSERS; SOCIAL COMMUNICATION; SPEECH; SYNTAX; TEST AND EVALUATION; TRIPS COMPUTER PROGRAM; UDRS COMPUTER PROGRAM; VOCABULARY; Voice Communications; WORDS(LANGUAGE)
URL: http://www.dtic.mil/docs/citations/ADA534412
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA534412
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37
Comparing Evaluation Metrics for Sentence Boundary Detection
In: DTIC (2007)
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38
Techniques for Automatically Generating Biographical Summaries from News Articles
In: DTIC (2007)
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39
The Effect of Bilingual Term List Size on Dictionary-Based Cross-Language Information Retrieval
In: DTIC (2006)
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40
Effectively Using Syntax for Recognizing False Entailment
In: DTIC (2006)
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