Bib2vec: Embedding-based Search System for Bibliographic Information

• Autores: Takuma Yoneda, Koki Mori, Makoto Miwa, Yutaka Sasaki
• Localización: 15th Conference of the European Chapter of the Association for Computational Linguistics: Proceedings of the Software Demonstrations : April 3-7, 2017 Valencia, Spain / Anselmo Peñas Padilla (ed. lit.), André Martins Brandão (ed. lit.), 2017, ISBN 978-1-945626-36-4, págs. 112-115
• Idioma: inglés
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• Resumen

  • 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.