Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations

Paul Michel, Abhilasha Ravichander, Shruti Rijhwani. Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations. In Phil Blunsom, Antoine Bordes, KyungHyun Cho, Shay B. Cohen, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Yih, editors, Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017. pages 235-240, Association for Computational Linguistics, 2017. [doi]

Abstract

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