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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 3 4 5 6 Hits 1 – 20 of 102 1 Arabic Natural Language Processing System Code Library Tratz, Stephen C In: DTIC (2014) BASE Show details 2 Teaching Intelligence Analysis with TIACRITIS Tecuci, G.; Schum, D.; Boicu, M.... In: DTIC (2010) BASE Show details 3 POSTECH at TREC 2009 Blog Track: Top Stories Identification Lee, Yeha; Jung, Hun-young; Song, Woosang... In: DTIC (2009) BASE Show details 4 A Study of Topic and Topic Change in Conversational Threads Cowan-Sharp, Jessy In: DTIC (2009) BASE Show details 5 Experiments on Related Entity Finding Track at TREC 2009 Yang, Qing; Jiang, Peng; Zhang, Chunxia... In: DTIC (2009) BASE Show details 6 PARADISE Based Search Engine at TREC 2009 Web Track Shan, Dongdong; Zhao, Dongsheng; He, Jing... In: DTIC (2009) BASE Show details 7 DERI at TREC 2008 Enterprise Search Track Cummins, Ronan; O'Riordan, Colm In: DTIC (2008) BASE Show details 8 Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System Dzikovska, Myroslave O.; Allen, James F.; Swift, Mary D. In: DTIC (2007) BASE Show details 9 Sparse Information Extraction: Unsupervised Language Models to the Rescue Downey, Doug; Schoenmackers, Stefan; Etzioni, Oren In: DTIC (2007) Abstract: Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utilizing unsupervised language models. The REALM system, which combines HMM-based and n-gram-based language models ranks candidate extractions by the likelihood that they are correct. Our experiments show that REALM reduces extraction error by 39%, on average, when compared with previous work. Because REALM pre-computes language models based on its corpus and does not require any hand-tagged seeds, it is far more scalable than approaches that learn models for each individual relation from handtagged data. Thus, REALM is ideally suited for open information extraction where the relations of interest are not specified in advance and their number is potentially vast. ; Sponsored in part by the Defense Advanced Research Projects Agency (DARPA). Keyword: *INFORMATION RETRIEVAL; Computer Programming and Software; HMM(HIDDEN MARKOV MODELS); IE(INFORMATION EXTRACTION); Information Science; INTERNET; LANGUAGE; Linguistics; MARKOV PROCESSES; MATHEMATICAL MODELS; REALM COMPUTER PROGRAM; ZIPF'S LAW URL: http://www.dtic.mil/docs/citations/ADA534427 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA534427 BASE Hide details 10 Mitre's Qanda at TREC-11 Burger, John D.; Ferro, Lisa; Greiff, Warren... In: DTIC (2006) BASE Show details 11 A GH-Based Ontology to Support Applications for Automating Decision Support Loaiza, Francisco L.; Wartik, Steven P. In: DTIC (2005) BASE Show details 12 UML Design and Auto-Generated Code: Issues and Practical Solutions Lipkin, Ilya; Huber, A. K. In: DTIC (2005) BASE Show details 13 Shifting the Computational Paradigm Stein, Lynn A. In: DTIC AND NTIS (2004) BASE Show details 14 IBM's PIQUANT in TREC2003 Prager, John; Chu-Carroll, Jennifer; Czuba, Krzysztof... In: DTIC (2003) BASE Show details 15 Consolidating the Results of the CIRCSIM-Tutor Project and Further Consolidation of the Results of the CIRCSIM-Tutor Project Evens, Martha W. In: DTIC AND NTIS (2003) BASE Show details 16 Towards a Computational Model of Sketching Forbus, Kenneth D.; Ferguson, Ronald W.; Usher, Jeffrey M. In: DTIC (2000) BASE Show details 17 A Statistical Approach to the Generation of a Database for Evaluating OCR Software Brundick, Frederick S.; Brodeen, Ann E.; Taylor, Malcolm S. In: DTIC AND NTIS (2000) BASE Show details 18 Technical Opportunities to Help with the Year 2000 Problem Reps, Thomas W. In: DTIC AND NTIS (1997) BASE Show details 19 A Sound Polymorphic Type System for a Dialect of C (PREPRINT) Smith, Geoffrey; Volpano, Dennis In: DTIC (1997) BASE Show details 20 Applying the SCR Requirements Specification Method to Practical Systems: A Case Study Bharadwaj, Ramesh; Heitmeyer, Connie In: DTIC (1996) BASE Show details Page: 1 2 3 4 5 6

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