DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bai, X.-M | - |
dc.contributor.author | Li, J.-J | - |
dc.contributor.author | Kim, D.-I | - |
dc.contributor.author | Lee, J.-H. | - |
dc.date.accessioned | 2017-07-19T12:31:27Z | - |
dc.date.available | 2017-07-19T12:31:27Z | - |
dc.date.created | 2014-03-11 | - |
dc.date.issued | 2006-12 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/35967 | - |
dc.description.abstract | In general, there are two types of noun phrases (NP): Base Noun Phrase (BNP), and Maximal-Length Noun Phrase (MNP). MNP identification can largely reduce the complexity of full parsing, help analyze the general structure of complex sentences, and provide important clues for detecting main predicates in Chinese sentences. In this paper, we propose a 2-phase hybrid approach for MNP identification which adopts salient features such as expanded chunks and classified punctuations to improve performance. Experimental result shows a high quality performance of 89.66% in F-1-measure. | - |
dc.language | English | - |
dc.publisher | Springer | - |
dc.relation.isPartOf | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE (ICCPOL2006) | - |
dc.title | Identification of Maximal-Length Noun Phrases Based on Expanded Chunks and Classified Punctuations in Chinese | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/11940098_28 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE (ICCPOL2006), v.4285, pp.268 - 276 | - |
dc.identifier.wosid | 000244584200028 | - |
dc.date.tcdate | 2019-03-01 | - |
dc.citation.endPage | 276 | - |
dc.citation.startPage | 268 | - |
dc.citation.title | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE (ICCPOL2006) | - |
dc.citation.volume | 4285 | - |
dc.contributor.affiliatedAuthor | Lee, J.-H. | - |
dc.identifier.scopusid | 2-s2.0-77049101743 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 1 | - |
dc.description.scptc | 2 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.description.isOpenAccess | N | - |
dc.type.docType | Proceedings Paper | - |
dc.subject.keywordAuthor | Maximal-Length Noun Phrase (MNP) | - |
dc.subject.keywordAuthor | expanded chunk | - |
dc.subject.keywordAuthor | classified punctuation | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
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