Adapting a Robust Multi-genre NE System for Automatic Content Extraction
Identifieur interne : 000860 ( Istex/Corpus ); précédent : 000859; suivant : 000861Adapting a Robust Multi-genre NE System for Automatic Content Extraction
Auteurs : Diana Maynard ; Hamish Cunningham ; Kalina Bontcheva ; Marin DimitrovSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2002.
Abstract
Abstract: Many current information extraction systems tend to be designed with particular applications and domains in mind. With the increasing need for robust language engineering tools which can handle a variety of language processing demands, we have used the GATE architecture to design MUSE - a system for named entity recognition and related tasks. In this paper, we address the issue of how this general-purpose system can be adapted for particular applications with minimal time and effort, and how the set of resources used can be adapted dynamically and automatically. We focus specifically on the challenges of the ACE (Automatic Content Extraction) entity detection and tracking task, and preliminary results show promising figures.
Url:
DOI: 10.1007/3-540-46148-5_27
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ISTEX:50643758F6A5345504D4B37A8BBA39C828D900BFLe document en format XML
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With the increasing need for robust language engineering tools which can handle a variety of language processing demands, we have used the GATE architecture to design MUSE - a system for named entity recognition and related tasks. In this paper, we address the issue of how this general-purpose system can be adapted for particular applications with minimal time and effort, and how the set of resources used can be adapted dynamically and automatically. 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With the increasing need for robust language engineering tools which can handle a variety of language processing demands, we have used the GATE architecture to design MUSE - a system for named entity recognition and related tasks. In this paper, we address the issue of how this general-purpose system can be adapted for particular applications with minimal time and effort, and how the set of resources used can be adapted dynamically and automatically. We focus specifically on the challenges of the ACE (Automatic Content Extraction) entity detection and tracking task, and preliminary results show promising figures.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>information extraction</Keyword><Keyword>named entity recognition</Keyword><Keyword>robust NLP</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Book><SubSeries><SubSeriesInfo><SubSeriesID>1244</SubSeriesID><SubSeriesTitle Language="En">Lecture Notes in Artificial Intelligence</SubSeriesTitle><SubSeriesSubTitle Language="En">Subseries of Lecture Notes in Computer Science</SubSeriesSubTitle></SubSeriesInfo><SubSeriesHeader><EditorGroup><Editor AffiliationIDS="Aff2"><EditorName DisplayOrder="Western"><GivenName>Jaime</GivenName><GivenName>G.</GivenName><FamilyName>Carbonell</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff3"><EditorName DisplayOrder="Western"><GivenName>Jörg</GivenName><FamilyName>Siekmann</FamilyName></EditorName></Editor><Affiliation ID="Aff2"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>University of Saarland</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SubSeriesHeader></SubSeries></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Adapting a Robust Multi-genre NE System for Automatic Content Extraction</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Adapting a Robust Multi-genre NE System for Automatic Content Extraction</title></titleInfo><name type="personal"><namePart type="given">Diana</namePart><namePart type="family">Maynard</namePart><affiliation>Dept of Computer Science, University of Sheffield, 211 Portobello St, S1 4DP, Sheffield, UK</affiliation><affiliation>E-mail: diana@dcs.shef.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Hamish</namePart><namePart type="family">Cunningham</namePart><affiliation>Dept of Computer Science, University of Sheffield, 211 Portobello St, S1 4DP, Sheffield, UK</affiliation><affiliation>E-mail: hamish@dcs.shef.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Kalina</namePart><namePart type="family">Bontcheva</namePart><affiliation>Dept of Computer Science, University of Sheffield, 211 Portobello St, S1 4DP, Sheffield, UK</affiliation><affiliation>E-mail: kalina@dcs.shef.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Marin</namePart><namePart type="family">Dimitrov</namePart><affiliation>Sirma AI Ltd, Ontotext Lab, 38AHristo Botev Blvd, 1000, Sofia, Bulgaria</affiliation><affiliation>E-mail: marin@sirma.bg</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2002</dateIssued><copyrightDate encoding="w3cdtf">2002</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: Many current information extraction systems tend to be designed with particular applications and domains in mind. With the increasing need for robust language engineering tools which can handle a variety of language processing demands, we have used the GATE architecture to design MUSE - a system for named entity recognition and related tasks. In this paper, we address the issue of how this general-purpose system can be adapted for particular applications with minimal time and effort, and how the set of resources used can be adapted dynamically and automatically. We focus specifically on the challenges of the ACE (Automatic Content Extraction) entity detection and tracking task, and preliminary results show promising figures.</abstract><relatedItem type="host"><titleInfo><title>Artificial Intelligence: Methodology, Systems, and Applications</title><subTitle>10th International Conference, AIMSA 2002 Varna, Bulgaria, September 4–6, 2002 Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Donia</namePart><namePart type="family">Scott</namePart><affiliation>ITRI, University of Brighton, Lewes Road, BN2 4GJ, Brighton, UK</affiliation><affiliation>E-mail: donia.scott@itri.bton.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2002</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic></subject><identifier type="DOI">10.1007/3-540-46148-5</identifier><identifier type="ISBN">978-3-540-44127-4</identifier><identifier type="eISBN">978-3-540-46148-7</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="BookTitleID">72465</identifier><identifier type="BookID">3-540-46148-5</identifier><identifier type="BookChapterCount">28</identifier><identifier type="BookVolumeNumber">2443</identifier><identifier type="BookSequenceNumber">2443</identifier><part><date>2002</date><detail type="volume"><number>2443</number><caption>vol.</caption></detail><extent unit="pages"><start>264</start><end>273</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2002</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">G.</namePart><namePart type="family">Goos</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">J.</namePart><namePart type="family">Hartmanis</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">J.</namePart><namePart type="family">van Leeuwen</namePart><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2002</copyrightDate><issuance>serial</issuance></originInfo><relatedItem type="constituent"><titleInfo><title>Lecture Notes in Artificial Intelligence</title><subTitle>Subseries of Lecture Notes in Computer Science</subTitle></titleInfo><name type="personal"><namePart type="given">G.</namePart><namePart type="family">Goos</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">J.</namePart><namePart type="family">Hartmanis</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">J.</namePart><namePart type="family">van Leeuwen</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Donia</namePart><namePart type="family">Scott</namePart><affiliation>ITRI, University of Brighton, Lewes Road, BN2 4GJ, Brighton, UK</affiliation><affiliation>E-mail: donia.scott@itri.bton.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jaime</namePart><namePart type="given">G.</namePart><namePart type="family">Carbonell</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jörg</namePart><namePart type="family">Siekmann</namePart><affiliation>University of Saarland, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Sub-Series"></genre><identifier 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