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]
@inproceedings{MichelRR17,
title = {Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations},
author = {Paul Michel and Abhilasha Ravichander and Shruti Rijhwani},
year = {2017},
url = {https://aclanthology.info/papers/W17-2628/w17-2628},
researchr = {https://researchr.org/publication/MichelRR17},
cites = {0},
citedby = {0},
pages = {235-240},
booktitle = {Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017},
editor = {Phil Blunsom and Antoine Bordes and KyungHyun Cho and Shay B. Cohen and Chris Dyer and Edward Grefenstette and Karl Moritz Hermann and Laura Rimell and Jason Weston and Scott Yih},
publisher = {Association for Computational Linguistics},
isbn = {978-1-945626-62-3},
}