@inproceedings{cho-2017-strawman,
    title = "{S}trawman: An Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis",
    author = "Cho, Kyunghyun",
    editor = "Bender, Emily  and
      Daum{\'e} III, Hal  and
      Ettinger, Allyson  and
      Rao, Sudha",
    booktitle = "Proceedings of the First Workshop on Building Linguistically Generalizable {NLP} Systems",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W17-5409/",
    doi = "10.18653/v1/W17-5409",
    pages = "59--60",
    abstract = "This paper describes a builder entry, named {\textquotedblleft}strawman{\textquotedblright}, to the sentence-level sentiment analysis task of the {\textquotedblleft}Build It, Break It{\textquotedblright} shared task of the First Workshop on Building Linguistically Generalizable NLP Systems. The goal of a builder is to provide an automated sentiment analyzer that would serve as a target for breakers whose goal is to find pairs of minimally-differing sentences that break the analyzer."
}