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1081 |
Advanced Capabilities for Evidence Extraction (ACEE)
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In: DTIC AND NTIS (2004)
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Abstract:
The Center for Natural Language Processing (CNLP) at Syracuse University recently completed the Advanced Capabilities for Evidence Extraction (ACEE) Project, which has improved the effectiveness of its basic entity, relation, and event extraction technology and extended these capabilities in several ways. First, the Information Extraction (IE) technology can now be quickly ported to new domains by use of algorithms utilizing Transformation-Based Learning to specialize generic relation extraction to specific domains. Second, Alias Tracking has enhanced entity coalition within documents by means of more sophisticated co-reference algorithms and has enabled entity tracking across documents. Third, new Linguistic Inferencing capabilities improved cohesiveness of extractions by enabling event coalition. Fourth, significant development in Temporal Sequencing and Scenario Understanding was accomplished based on improved interpretation of temporal attributes of events (e.g., frequency, occurs, since) and temporal relations between events (e.g., before, after, concurrent) providing a richer basis for time-line analysis of events than in previous extraction work. Fifth, an innovative model-based approach to automated certainty detection and categorization was developed and tested, including level of certainty, the person who experiences certainty (e.g., reporter, witness), the abstract or factual nature of the focus of the certainty, and point in time at which the certainty is expressed. Engineering efforts have improved the speed, scalability, and portability of CNLP's IE technology. The appendix contains a hierarchy of categories, or taxonomy, that linguistic analysts use to categorize entities. (17 figures, 45 refs.) ; The original document contains color images.
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Keyword:
*COMPUTATIONAL LINGUISTICS; *DOCUMENT PROCESSING; *EVIDENCE EXTRACTION; *EXTRACTION; *INFORMATION PROCESSING; *NATURAL LANGUAGE; *NATURAL LANGUAGE PROCESSING; *TEXT PROCESSING; ALGORITHMS; ALIAS TRACKING; ARTIFICIAL INTELLIGENCE; AUTOMATION; CERTAINTY MODEL; DATA BASES; EELD(EVIDENCE EXTRACTION AND LINK DISCOVERY PROGRAM); ENTITY EXTRACTION; EVENT EXTRACTION; INFORMATION EXTRACTION; INFORMATION RETRIEVAL; Information Science; INFORMATION THEORY; LEARNING; LINGUISTIC CERTAINTY; LINGUISTIC INFERENCING FOR EVENT COREFERENCE; MAPPING; NATIONAL SECURITY; PATTERN RECOGNITION; PE62301E; RELATION EXTRACTION; RELATIONS EXTRACTION; SCENARIOS; SHALLOW PARSING; SOFTWARE ENGINEERING; TEMPORAL EXTRACTIONS FOR SCENARIOS; TEMPORAL SEQUENCING; TEST AND EVALUATION; TEXT EXTRACTION; THREATS; TRANSFORMATION-BASED LEARNING; WUAFRLEELD0114
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA425835 http://www.dtic.mil/docs/citations/ADA425835
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1082 |
Recent Developments in USAF Officer Testing and Selection
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In: DTIC (2004)
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1083 |
Evaluation of selected auditory tests in school-age children suspected of auditory processing disorders
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In: EAR HEARING , 25 (6) 586 - 597. (2004) (2004)
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1084 |
Language reorganization in children with early-onset lesions of the left hemisphere: an fMRI study
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In: BRAIN , 127 1229 - 1236. (2004) (2004)
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1085 |
Transient crossed aphasia evidenced by functional brain imagery
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In: NEUROREPORT , 15 (5) 785 - 790. (2004) (2004)
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1086 |
A Teacher-Verification Study of Speaking and Writing Prototype Tasks for a New TOEFL
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1087 |
Transient crossed aphasia evidenced by functional brain imagery
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1088 |
Developing A Cloze Procedure As A Reading Comprehension Achievement Test
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In: TEFLIN Journal, Vol 15, Iss 2, Pp 174-192 (2004) (2004)
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