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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 21 1 Relevance Feedback based on Constrained Clustering: FDU at TREC 09 Wang, Bingqing; Huang, Xuanjing In: DTIC (2009) BASE Show details 2 A Journey in Entity Related Retrieval for TREC 2009 Pamarthi, Jagadish; Zhou, Guangxu; Bayrak, Coskun In: DTIC (2009) BASE Show details 3 Lucene for n-grams using the ClueWeb Collection Newby, Gregory B.; Fallen, Chris; McCormick, Kylie In: DTIC (2009) BASE Show details 4 BIT at TREC 2009 Faceted Blog Distillation Task Jiang, Peng; Yang, Qing; Zhang, Chunxia... In: DTIC (2009) BASE Show details 5 IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model Dincer, Bekir T.; Kocabase, Ilker; Karaoglan, Bahar In: DTIC (2009) BASE Show details 6 POSTECH at TREC 2009 Blog Track: Top Stories Identification Lee, Yeha; Jung, Hun-young; Song, Woosang... In: DTIC (2009) BASE Show details 7 PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback Li, Si; Li, Xinsheng; Zhang, Hao... In: DTIC (2009) BASE Show details 8 Experiments on Related Entity Finding Track at TREC 2009 Yang, Qing; Jiang, Peng; Zhang, Chunxia... In: DTIC (2009) BASE Show details 9 Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task Lex, Elisabeth; Granitzer, Michael; Juffinger, Andreas In: DTIC (2009) BASE Show details 10 Techniques for Automatically Generating Biographical Summaries from News Articles Esparza, Matthew W. In: DTIC (2007) BASE Show details 11 A Methodology for End-to-End Evaluation of Arabic Document Image Processing Software Herceg, Paul M.; Ball, Catherine N. In: DTIC (2006) BASE Show details 12 NTCIR CLIR Experiments at the University of Maryland Oard, Douglas W.; Wang, Jianqiang In: DTIC (2000) BASE Show details 13 Experiments in Spoken Document Retrieval at CMU Siegler, M. A.; Witbrock, M. J.; Slattery, S. T.... In: DTIC (1997) BASE Show details 14 NLP Track at TREC-5 Strzalkowski, Tomek; Jones, Karen S. 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 BASE Hide details 15 Focus of Tipster Phases I and 2 Altomari, Patrick J; Currier, Patricia A In: DTIC (1996) BASE Show details 16 Domain and Language Evaluation Results Okurowski, Mary E. In: DTIC (1993) BASE Show details 17 Tipster Shogun System (Joint GE-CMU): MUC-4 Test Results and Analysis Krupka, George; Jaco, Paul; Mauldin, Michael... In: DTIC (1992) BASE Show details 18 GE-CMU: Description of the Tipster/Shogun System as Used for MUC-4 Jacobs, Paul; Krupka, George; Rau, Lisa... In: DTIC (1992) BASE Show details 19 BBN PLUM: MUC-4 Test Results and Analysis Weischedel, Ralph; Ayuso, Damaris; Boisen, Sean... In: DTIC (1992) BASE Show details 20 BBN HARC and DELPHI Results on the ATIS Benchmarks - February 1991 Austin, S.; Ayuso, D.; Bates, M.... In: DTIC (1991) BASE Show details Page: 1 2

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