Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference

Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli. Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference. In Ellen Riloff, David Chiang 0001, Julia Hockenmaier, Jun'ichi Tsujii, editors, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018. pages 4952-4957, Association for Computational Linguistics, 2018. [doi]

@inproceedings{GhaeiniFT18,
  title = {Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference},
  author = {Reza Ghaeini and Xiaoli Z. Fern and Prasad Tadepalli},
  year = {2018},
  url = {https://aclanthology.info/papers/D18-1537/d18-1537},
  researchr = {https://researchr.org/publication/GhaeiniFT18},
  cites = {0},
  citedby = {0},
  pages = {4952-4957},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018},
  editor = {Ellen Riloff and David Chiang 0001 and Julia Hockenmaier and Jun'ichi Tsujii},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-948087-84-1},
}