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41
IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
In: DTIC (2009)
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42
POSTECH at TREC 2009 Blog Track: Top Stories Identification
In: DTIC (2009)
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43
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
In: DTIC (2009)
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44
Novel Topic Impact on Authorship Attribution
In: DTIC (2009)
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45
Experiments on Related Entity Finding Track at TREC 2009
In: DTIC (2009)
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46
Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
In: DTIC (2009)
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47
Integrating Language and Cultural Knowledge into the Army Officer Corps
In: DTIC (2008)
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48
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
In: DTIC (2007)
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49
Comparing Evaluation Metrics for Sentence Boundary Detection
In: DTIC (2007)
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50
Techniques for Automatically Generating Biographical Summaries from News Articles
In: DTIC (2007)
Abstract: The work of manually creating a biographical summary from multiple information sources is both time-intensive and detail-oriented. Automating the task is also non-trivial because of the many natural language processing (NLP) areas that must be used to efficiently extract the relevant facts. Yet, no study has been done to determine how powerful a biographical summarization system must be to achieve the basic goal of filling slots in a biography template. Equally important, the simplest approaches to discovering and extracting biographical information from text have not been implemented. Further, no standard evaluations have been developed for summarization in general, but an evaluation methodology for this research is described and performed. ; The original document contains color images.
Keyword: *ABS(AUTOMATIC BIOGRAPHICAL SUMMARIZATION); *AUTOMATION; *BIOGRAPHIES; *EXTRACTION; *INFORMATION PROCESSING; *INFORMATION RETRIEVAL; *NATURAL LANGUAGE; *NEWS ARTICLES; ABSTRACTS; ACCURACY; ADS(AUTOMATIC DOCUMENT SUMMARIZATION); ARTIFICIAL INTELLIGENCE; AUTOMATIC SUMMARIZATION; BIOGRAPHY GENERATION; Cybernetics; DATA ACQUISITION; DOSSIER CREATION; FAIR-ISAAC ENTITY DISAMBIGUATION SYSTEM; INFORMATION EXTRACTION; Information Science; JAVA PROGRAMMING LANGUAGE; KEYWORD EXTRACTION; Linguistics; MDS(MULTI-DOCUMENT SUMMARIZATION); MERGE DATA; METHODOLOGY; MULTI-DOCUMENT SUMMARIZATION; NLP(NATURAL LANGUAGE PROCESSING); PRECISION; PROFILES; REDUNDANCY; REDUNDANCY REMOVAL; SENTENCE FILTRATION; TEMPLATES; TERRORISTS; TEST AND EVALUATION; THESES
URL: http://www.dtic.mil/docs/citations/ADA474074
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA474074
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51
The Effect of Bilingual Term List Size on Dictionary-Based Cross-Language Information Retrieval
In: DTIC (2006)
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52
Effectively Using Syntax for Recognizing False Entailment
In: DTIC (2006)
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53
Efficacy in Automated Language Translators
In: DTIC (2006)
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54
Dialogue Structure and Pronoun Resolution
In: DTIC (2006)
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55
A Methodology for End-to-End Evaluation of Arabic Document Image Processing Software
In: DTIC (2006)
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56
Measuring Translation Quality by Testing English Speakers with a New Defense Language Proficiency Test for Arabic
In: DTIC (2005)
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57
Measuring Human Readability of Machine Generated Text: Three Case Studies in Speech Recognition and Machine Translation
In: DTIC (2005)
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58
Criteria for Appraising Computer-Based Simulations for Teaching Arabic as a Foreign Language
In: DTIC AND NTIS (2005)
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59
Syntactic Simplification for Improving Content Selection in Multi-Document Summarization
In: DTIC (2004)
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60
Minimum Bayes-Risk Decoding for Statistical Machine Translation
In: DTIC (2004)
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