@inproceedings{reddy-etal-2020-iiitbh,
    title = "{IIITBH}-{IITP}@{CL}-{S}ci{S}umm20, {CL}-{L}ay{S}umm20, {L}ong{S}umm20",
    author = "Reddy, Saichethan  and
      Saini, Naveen  and
      Saha, Sriparna  and
      Bhattacharyya, Pushpak",
    editor = "Chandrasekaran, Muthu Kumar  and
      de Waard, Anita  and
      Feigenblat, Guy  and
      Freitag, Dayne  and
      Ghosal, Tirthankar  and
      Hovy, Eduard  and
      Knoth, Petr  and
      Konopnicki, David  and
      Mayr, Philipp  and
      Patton, Robert M.  and
      Shmueli-Scheuer, Michal",
    booktitle = "Proceedings of the First Workshop on Scholarly Document Processing",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest_wac_2008/2020.sdp-1.27/",
    doi = "10.18653/v1/2020.sdp-1.27",
    pages = "242--250",
    abstract = "In this paper, we present the IIIT Bhagalpur and IIT Patna team`s effort to solve the three shared tasks namely, CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 2020 at SDP 2020. The theme of these tasks is to generate medium-scale, lay and long summaries, respectively, for scientific articles. For the first two tasks, unsupervised systems are developed, while for the third one, we develop a supervised system. The performances of all the systems were evaluated on the associated datasets with the shared tasks in term of well-known ROUGE metric."
}