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1
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation ...
Wang, Qingyun; Li, Manling; Wang, Xuan. - : arXiv, 2020
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2
Overview of the DARPA LORELEI Program [<Journal>]
Christianson, Caitlin [Verfasser]; Duncan, Jason [Sonstige]; Onyshkevych, Boyan [Sonstige]
DNB Subject Category Language
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3
Annotation compatibility working group report
Meyers, Adam Verfasser]; Xue, Nianwen Verfasser]; Farwell, David Verfasser]. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2006
DNB Subject Category Language
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4
Annotation compatibility working group report
UB Frankfurt Linguistik
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5
Breadth and depth of semantic lexicons
Raskin, Victor (Mitarb.); Jones, Doug (Mitarb.); Burstein, Jill (Mitarb.). - Dordrecht [u.a.] : Kluwer, 1999
BLLDB
UB Frankfurt Linguistik
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6
From Submit to Submitted via Submission: On Lexical Rules in Large-Scale Lexicon Acquisition ...
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7
A lexicon for knowledge-based MT
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 10 (1995) 1-2, 5-57
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8
Corpora and Data Preparation
In: DTIC (1993)
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9
Tasks, Domains, and Languages
In: DTIC (1993)
Abstract: The Fifth Message Understanding Conference (MUC-5) involved the same tasks, domains and languages as the information extraction portion of the ARPA TIPSTER program. These tasks 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). For each task, a generic type of information that is specified for extraction corresponds to each of the slots in the templates. With text as input, the MUC-5 systems first detect whether the text contains relevant information. If available, the systems extract specific instances of The generic types from the text and output that information by filling the template slots with the appropriately formatted data representations. These slots are then scored by using an automatic scoring program with analyst-produced templates as the 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" in this volume).
Keyword: *INFORMATION RETRIEVAL; *TEMPLATES; *TEXT PROCESSING; ANALYSTS; AUTOMATIC PROGRAMMING; DATA BASES; DATA MANAGEMENT; EXTRACTION; Information Science; Linguistics; MODELS; PERSONNEL; PREPARATION; SCORING; SYSTEMS ENGINEERING; TRAINING
URL: http://www.dtic.mil/docs/citations/ADA459848
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA459848
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10
Corpora and Data Preparation for Information Extraction
In: DTIC (1993)
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11
Tasks, Domains, and Languages for Information Extraction
In: DTIC (1993)
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12
Template Design for Information Extraction
In: DTIC (1993)
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13
Lexical semantics and knowledge representation : first SIGLEX Workshop, Berkeley, CA, USA, June 17, 1991 ; proceedings
Gerstl, Peter (Mitarb.); Anick, Peter (Mitarb.); Onyshkevych, Boyan A. (Mitarb.). - Berlin [u.a.] : Springer, 1992
BLLDB
UB Frankfurt Linguistik
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