pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer. pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. In Jill Burstein, Christy Doran, Thamar Solorio, editors, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers). pages 3597-3608, Association for Computational Linguistics, 2019. [doi]

@inproceedings{JoshiCLWZ19,
  title = {pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference},
  author = {Mandar Joshi and Eunsol Choi and Omer Levy and Daniel S. Weld and Luke Zettlemoyer},
  year = {2019},
  url = {https://aclweb.org/anthology/papers/N/N19/N19-1362/},
  researchr = {https://researchr.org/publication/JoshiCLWZ19},
  cites = {0},
  citedby = {0},
  pages = {3597-3608},
  booktitle = {Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers)},
  editor = {Jill Burstein and Christy Doran and Thamar Solorio},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-950737-13-0},
}