2000
DOI: 10.1007/3-540-45154-4_36
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Greek Verb Semantic Processing for Stock Market Text Mining

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Cited by 5 publications
(2 citation statements)
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“…For instance, in the example of the verb "to-delay" the more restrictive concepts can be related to various additional features, corresponding to the interpretations "linger", "dally" and "tarry" (dated), according to the combination of features used. The features defining each verb, ranging from the more general to the more restrictive concept, are formalized from standard and formal definitions and examples from dictionaries, a methodology encountered in data mining applications (Kontos et al 2000). The interpretation of these verbs is accounted for in the form of additional features located at the end-nodes of the ontology, functioning as additional semantic restrictions or "Selectional Restrictions" (Gayral et al 2000;Wilks & Fass 1992), within an ontology of words.…”
Section: Verb Stemsmentioning
confidence: 99%
“…For instance, in the example of the verb "to-delay" the more restrictive concepts can be related to various additional features, corresponding to the interpretations "linger", "dally" and "tarry" (dated), according to the combination of features used. The features defining each verb, ranging from the more general to the more restrictive concept, are formalized from standard and formal definitions and examples from dictionaries, a methodology encountered in data mining applications (Kontos et al 2000). The interpretation of these verbs is accounted for in the form of additional features located at the end-nodes of the ontology, functioning as additional semantic restrictions or "Selectional Restrictions" (Gayral et al 2000;Wilks & Fass 1992), within an ontology of words.…”
Section: Verb Stemsmentioning
confidence: 99%
“…For instance, in the example of the Greek spatial expression "'mesa" ("in") the more restrictive concepts can be defined with the features [± movement] and [± entering area], corresponding to the interpretations "into", "through", "within" and "inside", according to the combination of features used. The features defining each spatial expression, ranging from the more general to the more restrictive spatial concept, are formalized from standard and formal definitions and examples from dictionaries, a methodology encountered in data mining applications [7]. The prosody-dependent indexical versus vague interpretation of these spatial expressions is accounted for in the form of additional [± indexical] features located at the endnodes of the spatial ontology.…”
Section: Integrating Prosodic Information Within An Ontological Frame...mentioning
confidence: 99%