@inproceedings{bowman-zhu-2019-deep,
    title = "Deep Learning for Natural Language Inference",
    author = "Bowman, Samuel  and
      Zhu, Xiaodan",
    editor = "Sarkar, Anoop  and
      Strube, Michael",
    booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Tutorials",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/N19-5002/",
    doi = "10.18653/v1/N19-5002",
    pages = "6--8",
    abstract = "This tutorial discusses cutting-edge research on NLI, including recent advance on dataset development, cutting-edge deep learning models, and highlights from recent research on using NLI to understand capabilities and limits of deep learning models for language understanding and reasoning."
}Markdown (Informal)
[Deep Learning for Natural Language Inference](https://preview.aclanthology.org/ingest-emnlp/N19-5002/) (Bowman & Zhu, NAACL 2019)
ACL
- Samuel Bowman and Xiaodan Zhu. 2019. Deep Learning for Natural Language Inference. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorials, pages 6–8, Minneapolis, Minnesota. Association for Computational Linguistics.