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1
RMIT University at TREC 2009: Web Track
In: DTIC (2009)
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2
Sparse Matrix Factorization: Applications to Latent Semantic Indexing
In: DTIC (2009)
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3
Optimal Mixture Models in IR
In: DTIC AND NTIS (2005)
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4
Beyond MARC: New Trends for the Library of the Future
In: DTIC (2003)
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5
Learning to Identify TV News Monologues by Style and Context
In: DTIC (2003)
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6
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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7
Bridging the Communication Gap (Combler les Lacunes dans le Domaine de la Communication)
In: DTIC AND NTIS (1991)
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8
The NATO Thesaurus Project
In: DTIC AND NTIS (1990)
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9
Federal Armed Forces Documentation and Information Centre
In: DTIC AND NTIS (1988)
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10
Learning Indices for Conceptual Information Retrieval: An Application of Explanation-Based Learning in Natural Language Processing.
In: DTIC AND NTIS (1987)
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11
Artificial Intelligence Indexing: Creating Knowledge Bases of Index Terms Ordered by Semantic Relations.
In: DTIC AND NTIS (1985)
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12
U. S. Navy Tactical Digital Systems Tactical Data Systems Glossary.
In: DTIC AND NTIS (1976)
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13
Information Sciences: Data and Information Handling, Storing, Retrieving and Dissemination.
In: DTIC AND NTIS (1976)
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14
Automatic Informative Abstracting and Extracting. Part I. Experiments in the Use of Syntactic Information in Automatic Extracting and Indexing.
In: DTIC AND NTIS (1973)
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15
Semantic Information Retrieval for Verbal Data.
In: DTIC AND NTIS (1972)
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16
Automatic Informative Abstracting and Extracting.
In: DTIC AND NTIS (1972)
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17
Scientific and Technical Information. Series 2. Information Processes and Systems. Number 6, 1969 (Selected Portions)
In: DTIC AND NTIS (1971)
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18
Annual Report: Automatic Informative Abstracting and Extracting.
In: DTIC AND NTIS (1971)
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19
Language of Information Science: Convertibility in Information Science
In: DTIC AND NTIS (1971)
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20
Descriptive Representations of Remotely Sensed Image Data
In: DTIC AND NTIS (1971)
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