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  • 标题:Bib2vec: Embedding-based Search System for Bibliographic Information
  • 本地全文:下载
  • 作者:Takuma Yoneda ; Koki Mori ; Makoto Miwa
  • 期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
  • 出版年度:2017
  • 卷号:2017
  • 页码:112-115
  • 语种:English
  • 出版社:ACL Anthology
  • 摘要: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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