@inproceedings{hazem-2017-mappsent,
    title = "{M}app{S}ent at {IJCNLP}-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations",
    author = "Hazem, Amir",
    editor = "Liu, Chao-Hong  and
      Nakov, Preslav  and
      Xue, Nianwen",
    booktitle = "Proceedings of the {IJCNLP} 2017, Shared Tasks",
    month = dec,
    year = "2017",
    address = "Taipei, Taiwan",
    publisher = "Asian Federation of Natural Language Processing",
    url = "https://preview.aclanthology.org/landing_page/I17-4034/",
    pages = "203--207",
    abstract = "In this paper we present MappSent, a textual similarity approach that we applied to the multi-choice question answering in exams shared task. MappSent has initially been proposed for question-to-question similarity hazem2017. In this work, we present the results of two adaptations of MappSent for the question answering task on the English dataset."
}