@inproceedings{hu-etal-2019-natural,
    title = "Natural Language Inference with Monotonicity",
    author = "Hu, Hai  and
      Chen, Qi  and
      Moss, Larry",
    editor = "Dobnik, Simon  and
      Chatzikyriakidis, Stergios  and
      Demberg, Vera",
    booktitle = "Proceedings of the 13th International Conference on Computational Semantics - Short Papers",
    month = may,
    year = "2019",
    address = "Gothenburg, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-0502",
    doi = "10.18653/v1/W19-0502",
    pages = "8--15",
    abstract = "This paper describes a working system which performs natural language inference using polarity-marked parse trees. The system handles all of the instances of monotonicity inference in the FraCaS data set. Except for the initial parse, it is entirely deterministic. It handles multi-premise arguments, and the kind of inference performed is essentially {``}logical{''}, but it goes beyond what is representable in first-order logic. In any case, the system works on surface forms rather than on representations of any kind.",
}