Experiments on Extracting Semantic Relations from Syntactic Relations
Identifieur interne : 000B78 ( Main/Exploration ); précédent : 000B77; suivant : 000B79Experiments on Extracting Semantic Relations from Syntactic Relations
Auteurs : Caroline Varaschin Gasperin [Brésil] ; Vera Lúcia Strube De Lima [Brésil]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2003.
English descriptors
- Teeft :
- Adjective, Animal produ, Automatic extraction, Computer science, Context nnprep, Context sobj, Corpus, Dobj, Folhanot corpus, Gasperin, Grefenstette, Information retrieval, Iobj, Lecture notes, Lima table, Local weight, More contexts, Natural language processing, Nnprep, Noun, Original expressions, Original technique, Parser errors, Porto alegre, Portuguese, Portuguese corpus, Position variation, Preposition, Produ, Second experiment, Second list, Semantic, Semantic relations, Semantic similarity, Similar words, Similarity computation, Similarity measure, Similarity value, Subj, Syntactic, Syntactic context, Syntactic context notion, Syntactic contexts, Syntactic relation, Syntactic relations, Uncorrected contexts, Varaschin gasperin, Verb, Weighted jaccard similarity measure, Weighted version, Word lists, Word similarity.
Abstract
Abstract: Thiswork presents the results of the application of a technique for automatic extraction of semantic relations among words from a corpus. The technique used is the one proposed by Grefenstette in [1]. We brought contributions to the syntactic context notion in [1], aiming to improve the identification of semantically related words. Then, we carried on three different experiments using a Portuguese language corpus: the first one compares the original Grefenstette’s technique with the technique modified with our contributions, the second experiment investigates which syntactic relation is more relevant when identifying semantic relations, and the last experiment investigates the influence of the parser errors on the quality of the extracted semantic relations. Results and their analyses are detailed in this article.
Url:
DOI: 10.1007/3-540-36456-0_32
Affiliations:
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