Loading…
Choices for Lexical Semantics
The modern computational lexical semantics reached a point in its development when it has become useful to compare the goals and methods of the various approaches to it. This article proposes several choices in terms of which these goals and methods can be discussed. It is argued that the central qu...
Saved in:
Published in: | Computational intelligence 2001-02, Vol.17 (1), p.157-177 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c3537-ff13ac80f08d8a0c10a1be6727afd383b9d4f8e1e784c2033fbbf52ce45c454d3 |
---|---|
cites | |
container_end_page | 177 |
container_issue | 1 |
container_start_page | 157 |
container_title | Computational intelligence |
container_volume | 17 |
creator | Nirenburg, Sergei Raskin, Victor |
description | The modern computational lexical semantics reached a point in its development when it has become useful to compare the goals and methods of the various approaches to it. This article proposes several choices in terms of which these goals and methods can be discussed. It is argued that the central questions include the use of lexical rules for generating word senses; the role of syntax and formal semantics in the specification of lexical meaning; the use of a world model, or ontology, as the organizing principle for lexical‐semantic descriptions; the relation between static and dynamic resources; the commitment to descriptive coverage; the tradeoff between generalization and idiosyncracy; and finally, the adherence to the “supply side” (method‐oriented) or “demand side” (task‐oriented) ideology of research. The discussion is inspired by, but not limited to, the comparison between the generative lexicon approach and the ontologic semantic approach to lexical semantics. |
doi_str_mv | 10.1111/0824-7935.00137 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_26650630</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>26650630</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3537-ff13ac80f08d8a0c10a1be6727afd383b9d4f8e1e784c2033fbbf52ce45c454d3</originalsourceid><addsrcrecordid>eNqFkE1PAjEQhhujiYiePZlw8rYw3X5yNBtBAllM1OCt6XbbWF1YbCHAv5d1DVfnMod5nkneF6FbDH18nAHIlCZiSFgfABNxhjqYcpFITuEcdU7XS3QV4yc0DJUddJd91N7Y2HN16M3s3htd9V7sUq823sRrdOF0Fe3N3-6it9Hja_aUzObjSfYwSwxhRCTOYaKNBAeylBoMBo0Ly0UqtCuJJMWwpE5abIWkJgVCXFE4lhpLmaGMlqSL7tu_61B_b23cqKWPxlaVXtl6G1XKOQNO4AgOWtCEOsZgnVoHv9ThoDCopgbVBFVNUPVbw9GgrbHzlT38h6tsPslbLWk1Hzd2f9J0-FJcEMHUIh-r6fQ5Z6P3XC3ID2HcbJI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>26650630</pqid></control><display><type>article</type><title>Choices for Lexical Semantics</title><source>Business Source Ultimate【Trial: -2024/12/31】【Remote access available】</source><source>Wiley-Blackwell Read & Publish Collection</source><creator>Nirenburg, Sergei ; Raskin, Victor</creator><creatorcontrib>Nirenburg, Sergei ; Raskin, Victor</creatorcontrib><description>The modern computational lexical semantics reached a point in its development when it has become useful to compare the goals and methods of the various approaches to it. This article proposes several choices in terms of which these goals and methods can be discussed. It is argued that the central questions include the use of lexical rules for generating word senses; the role of syntax and formal semantics in the specification of lexical meaning; the use of a world model, or ontology, as the organizing principle for lexical‐semantic descriptions; the relation between static and dynamic resources; the commitment to descriptive coverage; the tradeoff between generalization and idiosyncracy; and finally, the adherence to the “supply side” (method‐oriented) or “demand side” (task‐oriented) ideology of research. The discussion is inspired by, but not limited to, the comparison between the generative lexicon approach and the ontologic semantic approach to lexical semantics.</description><identifier>ISSN: 0824-7935</identifier><identifier>EISSN: 1467-8640</identifier><identifier>DOI: 10.1111/0824-7935.00137</identifier><language>eng</language><publisher>Boston, USA and Oxford, UK: Blackwell Publishers Inc</publisher><subject>architectural methodology ; behavior-based ; fuzzy logic ; motivation ; reasoning ; topological representation</subject><ispartof>Computational intelligence, 2001-02, Vol.17 (1), p.157-177</ispartof><rights>Blackwell Publishers, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3537-ff13ac80f08d8a0c10a1be6727afd383b9d4f8e1e784c2033fbbf52ce45c454d3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Nirenburg, Sergei</creatorcontrib><creatorcontrib>Raskin, Victor</creatorcontrib><title>Choices for Lexical Semantics</title><title>Computational intelligence</title><description>The modern computational lexical semantics reached a point in its development when it has become useful to compare the goals and methods of the various approaches to it. This article proposes several choices in terms of which these goals and methods can be discussed. It is argued that the central questions include the use of lexical rules for generating word senses; the role of syntax and formal semantics in the specification of lexical meaning; the use of a world model, or ontology, as the organizing principle for lexical‐semantic descriptions; the relation between static and dynamic resources; the commitment to descriptive coverage; the tradeoff between generalization and idiosyncracy; and finally, the adherence to the “supply side” (method‐oriented) or “demand side” (task‐oriented) ideology of research. The discussion is inspired by, but not limited to, the comparison between the generative lexicon approach and the ontologic semantic approach to lexical semantics.</description><subject>architectural methodology</subject><subject>behavior-based</subject><subject>fuzzy logic</subject><subject>motivation</subject><subject>reasoning</subject><subject>topological representation</subject><issn>0824-7935</issn><issn>1467-8640</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNqFkE1PAjEQhhujiYiePZlw8rYw3X5yNBtBAllM1OCt6XbbWF1YbCHAv5d1DVfnMod5nkneF6FbDH18nAHIlCZiSFgfABNxhjqYcpFITuEcdU7XS3QV4yc0DJUddJd91N7Y2HN16M3s3htd9V7sUq823sRrdOF0Fe3N3-6it9Hja_aUzObjSfYwSwxhRCTOYaKNBAeylBoMBo0Ly0UqtCuJJMWwpE5abIWkJgVCXFE4lhpLmaGMlqSL7tu_61B_b23cqKWPxlaVXtl6G1XKOQNO4AgOWtCEOsZgnVoHv9ThoDCopgbVBFVNUPVbw9GgrbHzlT38h6tsPslbLWk1Hzd2f9J0-FJcEMHUIh-r6fQ5Z6P3XC3ID2HcbJI</recordid><startdate>200102</startdate><enddate>200102</enddate><creator>Nirenburg, Sergei</creator><creator>Raskin, Victor</creator><general>Blackwell Publishers Inc</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>200102</creationdate><title>Choices for Lexical Semantics</title><author>Nirenburg, Sergei ; Raskin, Victor</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3537-ff13ac80f08d8a0c10a1be6727afd383b9d4f8e1e784c2033fbbf52ce45c454d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>architectural methodology</topic><topic>behavior-based</topic><topic>fuzzy logic</topic><topic>motivation</topic><topic>reasoning</topic><topic>topological representation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nirenburg, Sergei</creatorcontrib><creatorcontrib>Raskin, Victor</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computational intelligence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nirenburg, Sergei</au><au>Raskin, Victor</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Choices for Lexical Semantics</atitle><jtitle>Computational intelligence</jtitle><date>2001-02</date><risdate>2001</risdate><volume>17</volume><issue>1</issue><spage>157</spage><epage>177</epage><pages>157-177</pages><issn>0824-7935</issn><eissn>1467-8640</eissn><abstract>The modern computational lexical semantics reached a point in its development when it has become useful to compare the goals and methods of the various approaches to it. This article proposes several choices in terms of which these goals and methods can be discussed. It is argued that the central questions include the use of lexical rules for generating word senses; the role of syntax and formal semantics in the specification of lexical meaning; the use of a world model, or ontology, as the organizing principle for lexical‐semantic descriptions; the relation between static and dynamic resources; the commitment to descriptive coverage; the tradeoff between generalization and idiosyncracy; and finally, the adherence to the “supply side” (method‐oriented) or “demand side” (task‐oriented) ideology of research. The discussion is inspired by, but not limited to, the comparison between the generative lexicon approach and the ontologic semantic approach to lexical semantics.</abstract><cop>Boston, USA and Oxford, UK</cop><pub>Blackwell Publishers Inc</pub><doi>10.1111/0824-7935.00137</doi><tpages>21</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0824-7935 |
ispartof | Computational intelligence, 2001-02, Vol.17 (1), p.157-177 |
issn | 0824-7935 1467-8640 |
language | eng |
recordid | cdi_proquest_miscellaneous_26650630 |
source | Business Source Ultimate【Trial: -2024/12/31】【Remote access available】; Wiley-Blackwell Read & Publish Collection |
subjects | architectural methodology behavior-based fuzzy logic motivation reasoning topological representation |
title | Choices for Lexical Semantics |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T05%3A38%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Choices%20for%20Lexical%20Semantics&rft.jtitle=Computational%20intelligence&rft.au=Nirenburg,%20Sergei&rft.date=2001-02&rft.volume=17&rft.issue=1&rft.spage=157&rft.epage=177&rft.pages=157-177&rft.issn=0824-7935&rft.eissn=1467-8640&rft_id=info:doi/10.1111/0824-7935.00137&rft_dat=%3Cproquest_cross%3E26650630%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3537-ff13ac80f08d8a0c10a1be6727afd383b9d4f8e1e784c2033fbbf52ce45c454d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=26650630&rft_id=info:pmid/&rfr_iscdi=true |