Bib2vec: Embedding-based Search System for Bibliographic Information

Takuma Yoneda, Koki Mori, Makoto Miwa, Yutaka Sasaki


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.
Anthology ID:
E17-3028
Volume:
Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics
Month:
April
Year:
2017
Address:
Valencia, Spain
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
112–115
Language:
URL:
https://aclanthology.org/E17-3028
DOI:
Bibkey:
Cite (ACL):
Takuma Yoneda, Koki Mori, Makoto Miwa, and Yutaka Sasaki. 2017. Bib2vec: Embedding-based Search System for Bibliographic Information. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 112–115, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
Bib2vec: Embedding-based Search System for Bibliographic Information (Yoneda et al., EACL 2017)
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PDF:
https://aclanthology.org/E17-3028.pdf