Bib2vec: Embedding-based Search System for Bibliographic Information
Takuma Yoneda, Koki Mori, Makoto Miwa, Yutaka Sasaki · 2017
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.