@inproceedings{bhattacharya-etal-2022-lchqa,
    title = "{LCHQA}-Summ: Multi-perspective Summarization of Publicly Sourced Consumer Health Answers",
    author = "Bhattacharya, Abari  and
      Chaturvedi, Rochana  and
      Yadav, Shweta",
    editor = "Krahmer, Emiel  and
      McCoy, Kathy  and
      Reiter, Ehud",
    booktitle = "Proceedings of the First Workshop on Natural Language Generation in Healthcare",
    month = jul,
    year = "2022",
    address = "Waterville, Maine, USA and virtual meeting",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.nlg4health-1.3/",
    pages = "23--26",
    abstract = "Community question answering forums provide a convenient platform for people to source answers to their questions including those related to healthcare from the general public. The answers to user queries are generally long and contain multiple different perspectives, redundancy or irrelevant answers. This presents a novel challenge for domain-specific concise and correct multi-answer summarization which we propose in this paper."
}