Structurally enriched entity mention embedding from semi-structured textual content
In this research, we propose a novel and effective entity mention embedding framework that learns from semi-structured text corpus with annotated entity mentions without the aid of well-constructed knowledge graph or external semantic information other than the corpus itself. Based on the co-occurre...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2021
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/5876 https://ink.library.smu.edu.sg/context/sis_research/article/6879/viewcontent/Structurally_Enriched_Entity_Mention_SAC2021_pv.pdf |
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| Institution: | Singapore Management University |
| Language: | English |