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Using WordNet to Posit Hierarchical Structure in Levin's Verb Classes
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43 |
Automatic Extraction of Semantic Classes from Syntactic Information in Online Resources
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44 |
Development of Interlingual Lexical Conceptual Structures with Syntactic Markers for Machine Translation
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45 |
Lexical Selection for Cross-Language Applications: Combining LCS with WordNet
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46 |
A Thematic Hierarchy for Efficient Generation from Lexical-Conceptual Structure
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47 |
Aspectual Modifications to a LCS Database for NLP Applications
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48 |
Toward Compact Monotonically Compositional Interlingua Using Lexical Aspect
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49 |
Development of Cross-Linguistic Syntactic and Semantic Parameters for Parsing and Generation
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A Comparative Study of Knowledge-Based Approaches for Cross-Language Information Retrieval
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52 |
Aspectual Modifications to a LCS Database for NLP Applications
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In: DTIC (1997)
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Abstract:
Verbal and compositional lexical aspect provide the underlying temporal structure of events. Knowledge of lexical aspect, e.g. (a)telicity, is therefore required for interpreting event sequences in discourse (Dowty, 1986: Moens and Steedman, 1988; Passoneau. 1988), interfacing to temporal databases (Androutsopoulos, 1996), processing temporal modifiers (Antonisse, 1994), describing allowable alternations and their semantic effects (Resnik:, 1996; Tenny, 1994), and selecting tense and lexical items for natural language generation ((Dorr and Olsen, 1996; Klavans and Chodorow, 1992), cf. (Slobin and Bocaz, 1988)). We show that it is possible to represent lexical aspect both verbal and compositional on a large scale, using Lexical Conceptual Structure (LCS) representations of verbs in the classes cataloged by Levin (1993). We show how proper consideration of these universal pieces of verb meaning may be used to refine lexical representations and derive a range of meanings from combinations of LCS representations. A single algorithm may therefore be used to determine lexical aspect classes and features at both verbal and sentence levels. Finally, we illustrate how knowledge of lexical aspect facilitates the interpretation of events in XLP applications.
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Keyword:
*LEXICOGRAPHY; *NATURAL LANGUAGE; ALGORITHMS; COMPOSITION(PROPERTY); DATA BASES; LCS(LEXICAL CONCEPTUAL STRUCTURE); Linguistics; SEMANTICS; WORDS(LANGUAGE)
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URL: http://www.dtic.mil/docs/citations/ADA458250 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458250
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53 |
Toward Compact Monotonically Compositional Interlingua Using Lexical Aspect
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In: DTIC (1997)
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54 |
Using WordNet to Posit Hierarchical Structure in Levin's Verb Classes
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In: DTIC (1997)
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