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1
Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory
In: DTIC (2001)
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2
Corpora and Data Preparation
In: DTIC (1993)
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3
Tasks, Domains, and Languages
In: DTIC (1993)
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4
Domain and Language Evaluation Results
In: DTIC (1993)
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5
Corpora and Data Preparation for Information Extraction
In: DTIC (1993)
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6
Tasks, Domains, and Languages for Information Extraction
In: DTIC (1993)
Abstract: The information extraction tasks for the ARPA TIPSTER program center on automatically filling object-oriented data structures, called templates, with information extracted from free text in news stories (for discussion of templates and objects, see Template Design for Information Extraction in this volume). With text as input, the TIPSTER systems first detect whether the text contains relevant information. If so, the systems extract specific instances of generic types of information that correspond to each slot in the template and output that information by filling the template slots in an appropriate data representation. These slots are then scored by using an automatic scoring program with templates produced by human analysts that serve as answer keys. Human analysts also prepared development set templates for each domain, which served as training models for system developers (for discussion of the data preparation effort, see Corpora and Data Preparation for Information Extraction in this volume). ; TIPSTER TEXT PROGRAM: PHASE I: Proceedings of a Workshop held at Fredericksburg, Virginia, September 19-23, 1993. Sponsored by the Advanced Research Projects Agency.
Keyword: *INFORMATION RETRIEVAL; *LANGUAGE; *TEMPLATES; AUTOMATIC; Computer Programming and Software; COMPUTER PROGRAMS; DATA MANAGEMENT; ENGLISH LANGUAGE; Information Science; JAPANESE LANGUAGE; Linguistics; MICROELECTRONICS; SYSTEMS ENGINEERING; TEXT PROCESSING; TIPSTER(COMPUTER PROGRAMS); WORKSHOPS
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA630822
http://www.dtic.mil/docs/citations/ADA630822
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