Set-aware Entity Synonym Discovery with Flexible Receptive Fields (Extended Abstract)

dc.conference.date9-12 May 2022
dc.conference.locationKuala Lumpur, Malaysia
dc.conference.name2022 IEEE 38th International Conference on Data Engineering (ICDE)
dc.contributor.authorPei, Shichao
dc.contributor.authorYu, Lu
dc.contributor.authorZhang, Xiangliang
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer Science
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.departmentMachine Intelligence & kNowledge Engineering Lab
dc.contributor.institutionUniversity of Notre Dame, USA
dc.date.accessioned2022-08-04T07:11:19Z
dc.date.available2022-08-04T07:11:19Z
dc.date.issued2022-08-02
dc.description.abstractEntity synonym discovery (ESD) from text corpus is an essential problem in many entity-leveraging applications. This paper aims to address three limitations that widely exist in the current ESD solutions: 1) the lack of effective utilization for synonym set information; 2) the feature extraction of entities from restricted receptive fields; and 3) the incapacity to capture higher-order contextual information. We propose a novel set-aware ESD model that enables a flexible receptive field for ESD by using entity synonym set information and constructing a two-level network. Extensive experimental results on public datasets show that our model consistently outperforms the state-of-the-art with significant improvement.
dc.eprint.versionPost-print
dc.identifier.citationPei, S., Yu, L., & Zhang, X. (2022). Set-aware Entity Synonym Discovery with Flexible Receptive Fields (Extended Abstract). 2022 IEEE 38th International Conference on Data Engineering (ICDE). https://doi.org/10.1109/icde53745.2022.00141
dc.identifier.doi10.1109/icde53745.2022.00141
dc.identifier.isbn978-1-6654-0884-4
dc.identifier.issn1063-6382
dc.identifier.urihttp://hdl.handle.net/10754/680134
dc.publisherIEEE
dc.relation.urlhttps://ieeexplore.ieee.org/document/9835161/
dc.rightsArchived with thanks to IEEE
dc.subjectEntity Synonym Discovery
dc.subjectEntity Synonym Set
dc.subjectFlexible Receptive Fields
dc.titleSet-aware Entity Synonym Discovery with Flexible Receptive Fields (Extended Abstract)
dc.typeConference Paper
display.details.left<span><h5>Type</h5>Conference Paper<br><br><h5>Authors</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.author=Pei, Shichao,equals">Pei, Shichao</a><br><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.author=Yu, Lu,equals">Yu, Lu</a><br><a href="https://repository.kaust.edu.sa/search?query=orcid.id:0000-0002-3574-5665&spc.sf=dc.date.issued&spc.sd=DESC">Zhang, Xiangliang</a> <a href="https://orcid.org/0000-0002-3574-5665" target="_blank"><img src="https://repository.kaust.edu.sa/server/api/core/bitstreams/82a625b4-ed4b-40c8-865a-d6a5225a26a4/content" width="16" height="16"/></a><br><br><h5>KAUST Department</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Computational Bioscience Research Center (CBRC),equals">Computational Bioscience Research Center (CBRC)</a><br><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Computer Science,equals">Computer Science</a><br><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Computer Science Program,equals">Computer Science Program</a><br><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division,equals">Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division</a><br><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Machine Intelligence & kNowledge Engineering Lab,equals">Machine Intelligence & kNowledge Engineering Lab</a><br><br><h5>Date</h5>2022-08-02</span>
display.details.right<span><h5>Abstract</h5>Entity synonym discovery (ESD) from text corpus is an essential problem in many entity-leveraging applications. This paper aims to address three limitations that widely exist in the current ESD solutions: 1) the lack of effective utilization for synonym set information; 2) the feature extraction of entities from restricted receptive fields; and 3) the incapacity to capture higher-order contextual information. We propose a novel set-aware ESD model that enables a flexible receptive field for ESD by using entity synonym set information and constructing a two-level network. Extensive experimental results on public datasets show that our model consistently outperforms the state-of-the-art with significant improvement.<br><br><h5>Citation</h5>Pei, S., Yu, L., & Zhang, X. (2022). Set-aware Entity Synonym Discovery with Flexible Receptive Fields (Extended Abstract). 2022 IEEE 38th International Conference on Data Engineering (ICDE). https://doi.org/10.1109/icde53745.2022.00141<br><br><h5>Publisher</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.publisher=IEEE,equals">IEEE</a><br><br><h5>Conference/Event Name</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.conference=2022 IEEE 38th International Conference on Data Engineering (ICDE),equals">2022 IEEE 38th International Conference on Data Engineering (ICDE)</a><br><br><h5>DOI</h5><a href="https://doi.org/10.1109/icde53745.2022.00141">10.1109/icde53745.2022.00141</a><br><br><h5>Additional Links</h5>https://ieeexplore.ieee.org/document/9835161/</span>
kaust.personPei, Shichao
kaust.personYu, Lu
kaust.personZhang, Xiangliang
orcid.authorPei, Shichao
orcid.authorYu, Lu
orcid.authorZhang, Xiangliang::0000-0002-3574-5665
orcid.id0000-0002-3574-5665
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