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Bib2vec: An Embedding-based Search System for Bibliographic Information
June 16, 2017 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Takuma Yoneda, Koki Mori, Makoto Miwa, Yutaka Sasaki
arXiv ID
1706.05122
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.IR
Citations
4
Venue
arXiv.org
Last Checked
5 months ago
Abstract
We propose a novel embedding model that represents relationships among several elements in bibliographic information with high representation ability and flexibility. Based on this model, we present a novel search system that shows the relationships among the elements in the ACL Anthology Reference Corpus. The evaluation results show that our model can achieve a high prediction ability and produce reasonable search results.
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