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arXiv · 1706.05122

Bib2vec: An Embedding-based Search System for Bibliographic Information

Takuma Yoneda·Koki Mori·Makoto Miwa·Yutaka Sasaki
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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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Takuma Yoneda, Koki Mori, Makoto Miwa, Yutaka Sasaki. 2017-06-16. Bib2vec: An Embedding-based Search System for Bibliographic Information. https://arxiv.org/abs/1706.05122

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