Koki Mori

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2017

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Bib2vec: Embedding-based Search System for Bibliographic Information
Takuma Yoneda | Koki Mori | Makoto Miwa | Yutaka Sasaki
Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics

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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