@inproceedings{bhandwaldar-zadrozny-2018-uncc,
    title = "{UNCC} {QA}: Biomedical Question Answering system",
    author = "Bhandwaldar, Abhishek  and
      Zadrozny, Wlodek",
    editor = "Kakadiaris, Ioannis A.  and
      Paliouras, George  and
      Krithara, Anastasia",
    booktitle = "Proceedings of the 6th {B}io{ASQ} Workshop A challenge on large-scale biomedical semantic indexing and question answering",
    month = nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/W18-5308/",
    doi = "10.18653/v1/W18-5308",
    pages = "66--71",
    abstract = "In this paper, we detail our submission to the BioASQ competition{'}s Biomedical Semantic Question and Answering task. Our system uses extractive summarization techniques to generate answers and has scored highest ROUGE-2 and Rogue-SU4 in all test batch sets. Our contributions are named-entity based method for answering factoid and list questions, and an extractive summarization techniques for building paragraph-sized summaries, based on lexical chains. Our system got highest ROUGE-2 and ROUGE-SU4 scores for ideal-type answers in all test batch sets. We also discuss the limitations of the described system, such lack of the evaluation on other criteria (e.g. manual). Also, for factoid- and list -type question our system got low accuracy (which suggests that our algorithm needs to improve in the ranking of entities)."
}