DC Field | Value | Language |
---|---|---|
dc.contributor.author | You, GW | - |
dc.contributor.author | Hwang, SW | - |
dc.contributor.author | Song, YI | - |
dc.contributor.author | Jiang, L | - |
dc.contributor.author | Nie, ZQ | - |
dc.date.accessioned | 2016-03-31T08:43:57Z | - |
dc.date.available | 2016-03-31T08:43:57Z | - |
dc.date.created | 2013-03-07 | - |
dc.date.issued | 2012-11 | - |
dc.identifier.issn | 1046-8188 | - |
dc.identifier.other | 2012-OAK-0000026812 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/15926 | - |
dc.description.abstract | This article studies the problem of mining entity translation, specifically, mining English and Chinese name pairs. Existing efforts can be categorized into (a) transliteration-based approaches that leverage phonetic similarity and (b) corpus-based approaches that exploit bilingual cooccurrences. These approaches suffer from inaccuracy and scarcity, respectively. In clear contrast, we use under-leveraged resources of monolingual entity cooccurrences crawled from entity search engines, which are represented as two entity-relationship graphs extracted from two language corpora, respectively. Our problem is then abstracted as finding correct mappings across two graphs. To achieve this goal, we propose a holistic approach to exploiting both transliteration similarity and monolingual cooccurrences. This approach, which builds upon monolingual corpora, complements existing corpus-based work requiring scarce resources of parallel or comparable corpus while significantly boosting the accuracy of transliteration-based work. In addition, by parallelizing the mapping process on multicore architectures, we speed up the computation by more than 10 times per unit accuracy. We validated the effectiveness and efficiency of our proposed approach using real-life datasets. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | ASSOC COMPUTING MACHINERY | - |
dc.relation.isPartOf | ACM TRANSACTIONS ON INFORMATION SYSTEMS | - |
dc.subject | Algorithms | - |
dc.subject | Design | - |
dc.subject | Languages | - |
dc.subject | Performance | - |
dc.subject | Entity mining | - |
dc.subject | graph alignment | - |
dc.subject | parallelization | - |
dc.subject | translation | - |
dc.title | Efficient Entity Translation Mining: A Parallelized Graph Alignment Approach | - |
dc.type | Article | - |
dc.contributor.college | 컴퓨터공학과 | - |
dc.identifier.doi | 10.1145/2382438.2382444 | - |
dc.author.google | You, GW | - |
dc.author.google | Hwang, SW | - |
dc.author.google | Song, YI | - |
dc.author.google | Jiang, L | - |
dc.author.google | Nie, ZQ | - |
dc.relation.volume | 30 | - |
dc.relation.issue | 4 | - |
dc.contributor.id | 10147595 | - |
dc.relation.journal | ACM TRANSACTIONS ON INFORMATION SYSTEMS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | ACM TRANSACTIONS ON INFORMATION SYSTEMS, v.30, no.4 | - |
dc.identifier.wosid | 000312428900006 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.number | 4 | - |
dc.citation.title | ACM TRANSACTIONS ON INFORMATION SYSTEMS | - |
dc.citation.volume | 30 | - |
dc.contributor.affiliatedAuthor | Hwang, SW | - |
dc.identifier.scopusid | 2-s2.0-84871250455 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 1 | - |
dc.description.scptc | 5 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Algorithms | - |
dc.subject.keywordAuthor | Design | - |
dc.subject.keywordAuthor | Languages | - |
dc.subject.keywordAuthor | Performance | - |
dc.subject.keywordAuthor | Entity mining | - |
dc.subject.keywordAuthor | graph alignment | - |
dc.subject.keywordAuthor | parallelization | - |
dc.subject.keywordAuthor | translation | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
library@postech.ac.kr Tel: 054-279-2548
Copyrights © by 2017 Pohang University of Science ad Technology All right reserved.