Bib2vec: An Embedding-based Search System for Bibliographic Information

نویسندگان

  • Takuma Yoneda
  • Koki Mori
  • Makoto Miwa
  • Yutaka Sasaki
چکیده

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 ACLAnthology Reference Corpus. The evaluation results show that our model can achieve a high prediction ability and produce reasonable search results.

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Bib2vec: Embedding-based Search System for Bibliographic Information

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عنوان ژورنال:
  • CoRR

دوره abs/1706.05122  شماره 

صفحات  -

تاریخ انتشار 2017