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Simple Search
Hits 1 – 10 of 10
1
Searching Semantic Resources for Complex Selectional Restrictions to Support Verb Sense Disambiguation
Taylor, Merwyn
;
Carlson, Lynn
;
Poisson, Stephanie
...
In: DTIC (2010)
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2
Current and new directions in discourse and dialogue
Ebert, Christian
(Mitarb.);
Healey, Patrick
(Mitarb.);
Traum, David R.
(Mitarb.). - Dordrecht [u.a.] : Kluwer, 2003
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UB Frankfurt Linguistik
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3
RST Discourse Treebank
Carlson, Lynn
;
Marcu, Daniel
;
Okurowski, Mary Ellen
. - : Linguistic Data Consortium, 2002. : https://www.ldc.upenn.edu, 2002
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4
RST Discourse Treebank ...
Carlson, Lynn
;
Marcu, Daniel
;
Okurowski, Mary Ellen
. - : Linguistic Data Consortium, 2002
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5
Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory
Carlson, Lynn
;
Marcu, Daniel
;
Okurowski, Mary E.
In: DTIC (2001)
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6
Representing Text Meaning for Multilingual Knowledge-Based Machine Translation.
Carlson, Lynn
;
Cooper, Elizabeth
;
Dolan, Ronald
...
In: DTIC AND NTIS (1994)
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7
Corpora and Data Preparation
Carlson, Lynn
;
Onyshkevych, Boyan
;
Okurowski, Mary E.
In: DTIC (1993)
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8
Tasks, Domains, and Languages
Onyshkevych, Boyan
;
Okurowski, Mary E.
;
Carlson, Lynn
In: DTIC (1993)
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9
Corpora and Data Preparation for Information Extraction
Carlson, Lynn
;
Onyshkevych, Boyan
;
Okurowski, Mary E
In: DTIC (1993)
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10
Tasks, Domains, and Languages for Information Extraction
Onyshkevych, Boyan
;
Okurowski, Mary E
;
Carlson, Lynn
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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