A Mixture Model for Learning Multi-Sense Word Embeddings

Dai Quoc Nguyen, Dat Quoc Nguyen, Ashutosh Modi, Stefan Thater, Manfred Pinkal. A Mixture Model for Learning Multi-Sense Word Embeddings. In Nancy Ide, Aurélie Herbelot, Lluís Màrquez, editors, Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, *SEM @ACM 2017, Vancouver, Canada, August 3-4, 2017. pages 121-127, Association for Computational Linguistics, 2017. [doi]

@inproceedings{NguyenNMTP17,
  title = {A Mixture Model for Learning Multi-Sense Word Embeddings},
  author = {Dai Quoc Nguyen and Dat Quoc Nguyen and Ashutosh Modi and Stefan Thater and Manfred Pinkal},
  year = {2017},
  doi = {10.18653/v1/S17-1015},
  url = {https://doi.org/10.18653/v1/S17-1015},
  researchr = {https://researchr.org/publication/NguyenNMTP17},
  cites = {0},
  citedby = {0},
  pages = {121-127},
  booktitle = {Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, *SEM @ACM 2017, Vancouver, Canada, August 3-4, 2017},
  editor = {Nancy Ide and Aurélie Herbelot and Lluís Màrquez},
  publisher = {Association for Computational Linguistics},
}