%0 Conference Proceedings %T Bib2vec: Embedding-based Search System for Bibliographic Information %A Yoneda, Takuma %A Mori, Koki %A Miwa, Makoto %A Sasaki, Yutaka %Y Martins, André %Y Peñas, Anselmo %S Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics %D 2017 %8 April %I Association for Computational Linguistics %C Valencia, Spain %F yoneda-etal-2017-bib2vec %X 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. %U https://aclanthology.org/E17-3028 %P 112-115