Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
31st (2017)
Session ID : 4A2-3
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Learning Syntactically Plausible Word Representations by Solving Word Ordering
*[in Japanese][in Japanese]
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

In this paper, we propose a new approach to learning syntactically plausible word representations. The proposed method learns word embeddings by solving word ordering tasks using pointer networks.

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© 2017 The Japanese Society for Artificial Intelligence
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