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1
Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
In: DTIC (2013)
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2
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
In: DTIC (2009)
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3
A Journey in Entity Related Retrieval for TREC 2009
In: DTIC (2009)
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4
Lucene for n-grams using the ClueWeb Collection
In: DTIC (2009)
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5
BIT at TREC 2009 Faceted Blog Distillation Task
In: DTIC (2009)
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6
IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
In: DTIC (2009)
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7
POSTECH at TREC 2009 Blog Track: Top Stories Identification
In: DTIC (2009)
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8
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
In: DTIC (2009)
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9
Novel Topic Impact on Authorship Attribution
In: DTIC (2009)
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10
Experiments on Related Entity Finding Track at TREC 2009
In: DTIC (2009)
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11
Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
In: DTIC (2009)
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12
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
In: DTIC (2007)
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13
Techniques for Automatically Generating Biographical Summaries from News Articles
In: DTIC (2007)
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14
Effectively Using Syntax for Recognizing False Entailment
In: DTIC (2006)
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15
Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator
In: DTIC (2004)
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16
Development and Evaluation of a Korean Treebank and its Application to NLP
In: DTIC (2002)
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17
NTCIR CLIR Experiments at the University of Maryland
In: DTIC (2000)
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18
The Bible, Truth, and Multilingual OCR Evaluation
In: DTIC (1998)
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19
NLP Track at TREC-5
In: DTIC (1996)
Abstract: The Natural Language Processing (NLP) track was organized for the first time at TREC-5 to provide a more focused look at how NLP techniques can improve performance in information retrieval (IR). The intent was to see if the NLP techniques available today are mature enough to have an impact on IR, and whether they offer an advantage over purely quantitative methods. TREC-5 also was the place to try more expensive and more risky solutions than those used in main TREC evaluations. This NLP track demonstrated that NLP techniques have a solid but limited impact on the quality of text retrieval, particularly precision. Techniques aimed at producing higher quality queries, (e.g., query expansion, constraints) appear to be more effective than those aimed primarily at obtaining improved indexing of database documents. More work is needed before substantial gains can be seen, including the use of more advanced and expensive semantic analysis techniques. Figure 2 summarizes the NLP techniques that have been tried in information retrieval, and what their potential might be for improving retrieval precision. This chart was discussed at the NLP track workshop on the last day of TREC-5. The consensus was that NLP techniques that show particular promise in relatively small-scale track evaluations should be transferred to main evaluations as soon as practical. ; Presented at the Text Retrieval Conference (TREC-5) (5th) held in Gaithersburg, MD, on 20-22 Nov 1996. The original document contains color images.
Keyword: *INFORMATION RETRIEVAL; *MACHINE INDEXING; *NATURAL LANGUAGE; *PHRASE INDEXING; *PRECISION; *PROCESSING; *QUALITY; *SUBJECT INDEXING; AUTOMATION; BIGRAMS; CONCEPT TAGGING; DATA BASES; DOCUMENTS; Information Science; Linguistics; MACHINE TRANSLATION; MANUAL OPERATION; PARSERS; PHRASE EXTRACTION; PHRASE-BASED INDEXING; QUERY EXPANSION; SEARCHING; SINGLE-WORD INDEXING; STATISTICAL PHRASES; SYNTACTIC ANALYSIS; SYNTACTIC PHRASES; SYNTAX; TEST AND EVALUATION; WORKSHOPS
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA470634
http://www.dtic.mil/docs/citations/ADA470634
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20
Focus of Tipster Phases I and 2
In: DTIC (1996)
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