@inproceedings{michel-etal-2017-geometry,
    title = "Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations",
    author = "Michel, Paul  and
      Ravichander, Abhilasha  and
      Rijhwani, Shruti",
    editor = "Blunsom, Phil  and
      Bordes, Antoine  and
      Cho, Kyunghyun  and
      Cohen, Shay  and
      Dyer, Chris  and
      Grefenstette, Edward  and
      Hermann, Karl Moritz  and
      Rimell, Laura  and
      Weston, Jason  and
      Yih, Scott",
    booktitle = "Proceedings of the 2nd Workshop on Representation Learning for {NLP}",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Author-page-Marten-During-lu/W17-2628/",
    doi = "10.18653/v1/W17-2628",
    pages = "235--240"
}