L. Davidson, J. Kavanagh, K. Mackintosh, I. Meyer, and D. Skuce. Semi-automatic extraction of knowledgerich contexts from corpora. In Didier Bourigault, Christian Jacquemin, and Marie-Claude L'Homme, editors, Proceedings of the First Workshop on Computational Terminology COMPUTERM '98, held jointly with COLING-ACL'98, Montreal, Quebec, Canada, 1998. Home/Search Document Not in Database Summary Related Articles Check |
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TRUCKS: a model for automatic multi-word term recognition - Maynard, Ananiadou (2000) (1 citation) (Correct)
....words in the context therefore occur more frequently with terms than with non terms. Deeper forms of contextual information have largely been ignored for term extraction, but have been used for tasks such as the identi cation of synonyms [16] and the identi cation of terminological relations [8, 26]. In TRUCKS, we extract three di erent types of contextual information to form the top layer of the model, the Importance Weight: 1. syntactic; 2. terminological; 3. semantic. 7 Non Terms Terms Category Total Total Verb 13147 28 16170 32 Prep 12050 29 15551 31 Noun 11500 26 12425 24 ....
L. Davidson, J. Kavanagh, K. Mackintosh, I. Meyer, and D. Skuce. Semi-automatic extraction of knowledge-rich contexts from corpora. In Proc. of 1st Workshop on Computational Terminology (Computerm '98), pages 50-56, Montreal, Canada, 1998. COLING-ACL.
Term Extraction and Automatic Indexing - Jacquemin, Bourigault (2003) (1 citation) (Correct)
....information extraction. 19.1. 2 Linguistic Work on Terms in Context Recently, several linguists in terminology have focused on the notion of rich contexts which are involved in the detection of terms, relations between terms, or definitions and properties of terms (Condamines Rebeyrolles 1998; Davidson et al. 1998; Pearson 3 1998) Even though these works were developed independently, they agree on the fact that tools for term acquisition should recognize and use terminological contexts. In rich contexts relationships are established between terms [knowledge rich contexts are] contexts that illustrate ....
....works were developed independently, they agree on the fact that tools for term acquisition should recognize and use terminological contexts. In rich contexts relationships are established between terms [knowledge rich contexts are] contexts that illustrate domain specific conceptual relations (Davidson et al. 1998, p. 50) In such contexts, definitions are proposed for a characterization of terms through formal or semi formal defining expositive (Pearson 1998) The following examples are formal expositives: Compost is the controlled decomposition of organic matter through biological process (Davidson et ....
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Davidson, L., J. Kavanagh, K. Mackintosh, I. Meyer, & D. Skuce. 1998. "Semi-automatic extraction of knowledge-rich contexts from corpora". Proceedings, 1st Workshop on Computational Terminology (COMPUTERM'98), pages 50--56, Montreal.
Modelling Syntactic Context in Automatic Term Extraction - Basili, Pazienza, Zanzotto (2001) (Correct)
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L. Davidson, J. Kavanagh, K. Mackintosh, I. Meyer, and D. Skuce. Semi-automatic extraction of knowledgerich contexts from corpora. In Didier Bourigault, Christian Jacquemin, and Marie-Claude L'Homme, editors, Proceedings of the First Workshop on Computational Terminology COMPUTERM '98, held jointly with COLING-ACL'98, Montreal, Quebec, Canada, 1998.
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