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Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
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In: DTIC (2011)
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| 42 |
Maritime Domain Awareness via Agent Learning and Collaboration
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In: DTIC (2010)
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| 43 |
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
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In: DTIC (2010)
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| 44 |
Projecting Grammatical Features in Nominals: Cognitive Processing Theory & Computational Implementation
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In: DTIC (2010)
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| 45 |
The Impact of Interpretation Problems on Tutorial Dialogue
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In: DTIC (2010)
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| 46 |
A Multi-Disciplinary University Research Initiative in Hard and Soft Information Fusion: Overview, Research Strategies and Initial Results
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In: DTIC (2010)
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| 47 |
Enabling Multinational Communications with CENTRIXS
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In: DTIC (2010)
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| 48 |
Towards Real-time Program Awareness via Lexical Link Analysis
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In: DTIC (2010)
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| 49 |
TIACRITIS System and Textbook: Learning Intelligence Analysis through Practice
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In: DTIC (2010)
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| 51 |
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
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In: DTIC (2009)
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Abstract:
This paper addresses the problem of related entity finding, which was proposed in trec 2009. The overall aim of related entity finding (REF) is to perform entity-related search on Web data, which address common information needs that are not that well modeled as ad hoc document search. In this paper, a novel framework was proposed based on a probabilistic model for related entity finding in a Web collection. This model consists of two parts. One is the probability indicating the relation between the source entity and the candidate entities. The other is the probability indicating the relevance between the candidate entities and the topic. Using ClueWeb09 dataset, the experimental evaluations show the effectiveness of our REF framework. ; Presented at the Text REtrieval Conference (TREC 2009, 18th) held in Gaithersburg, Maryland on 17-20 November 2009. Published in the Proceedings of the Text REtrieval Conference (TREC 2009, 18th), 2009. The conference was co-sponsored by the National Institute of Standards and Technology (NIST), the Defense Advanced Research Projects Agency (DARPA), and the Advanced Research and Development Activity (ARDA).
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Keyword:
*INFORMATION RETRIEVAL; *INFORMATION SCIENCES; *INTERNET; *REF(RELATED ENTITY FINDING); *WEB(INTERNET); CHINA; COLLECTION; Computer Programming and Software; Equipment and Methods; FOREIGN REPORTS; ICTNET(INSTITUTE OF COMPUTING TECHNOLOGY NETWORK); Information Science; INTERNET BROWSERS; Linguistics; MATHEMATICAL MODELS; PROBABILITY; QUERIES(INFORMATION RETRIEVAL); RELEVANCE(INFORMATION RETRIEVAL); REPRINTS; SOCIAL COMMUNICATION; SYMPOSIA; TEST AND EVALUATION; Test Facilities
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URL: http://www.dtic.mil/docs/citations/ADA517725
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA517725
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| 52 |
Recognizing Connotative Meaning in Military Chat Communications
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In: DTIC (2009)
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| 53 |
Metacognitive Awareness versus Linguistic Politeness: Expressions of Confusion in Tutorial Dialogues
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In: DTIC (2009)
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| 54 |
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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| 56 |
A Journey in Entity Related Retrieval for TREC 2009
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In: DTIC (2009)
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| 58 |
Lucene for n-grams using the ClueWeb Collection
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In: DTIC (2009)
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| 59 |
BIT at TREC 2009 Faceted Blog Distillation Task
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In: DTIC (2009)
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| 60 |
Recovering Asynchronous Watermark Tones from Speech
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In: DTIC (2009)
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