@inproceedings{li-kong-2017-als,
    title = "{ALS} at {IJCNLP}-2017 Task 5: Answer Localization System for Multi-Choice Question Answering in Exams",
    author = "Li, Changliang  and
      Kong, Cunliang",
    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/add-emnlp-2024-awards/I17-4033/",
    pages = "199--202",
    abstract = "Multi-choice question answering in exams is a typical QA task. To accomplish this task, we present an answer localization method to locate answers shown in web pages, considering structural information and semantic information both. Using this method as basis, we analyze sentences and paragraphs appeared on web pages to get predictions. With this answer localization system, we get effective results on both validation dataset and test dataset."
}