@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://aclanthology.org/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.",
}
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%0 Conference Proceedings
%T IIITBH-IITP@CL-SciSumm20, CL-LaySumm20, LongSumm20
%A Reddy, Saichethan
%A Saini, Naveen
%A Saha, Sriparna
%A Bhattacharyya, Pushpak
%Y Chandrasekaran, Muthu Kumar
%Y de Waard, Anita
%Y Feigenblat, Guy
%Y Freitag, Dayne
%Y Ghosal, Tirthankar
%Y Hovy, Eduard
%Y Knoth, Petr
%Y Konopnicki, David
%Y Mayr, Philipp
%Y Patton, Robert M.
%Y Shmueli-Scheuer, Michal
%S Proceedings of the First Workshop on Scholarly Document Processing
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F reddy-etal-2020-iiitbh
%X 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.
%R 10.18653/v1/2020.sdp-1.27
%U https://aclanthology.org/2020.sdp-1.27
%U https://doi.org/10.18653/v1/2020.sdp-1.27
%P 242-250
Markdown (Informal)
[IIITBH-IITP@CL-SciSumm20, CL-LaySumm20, LongSumm20](https://aclanthology.org/2020.sdp-1.27) (Reddy et al., sdp 2020)
ACL
- Saichethan Reddy, Naveen Saini, Sriparna Saha, and Pushpak Bhattacharyya. 2020. IIITBH-IITP@CL-SciSumm20, CL-LaySumm20, LongSumm20. In Proceedings of the First Workshop on Scholarly Document Processing, pages 242–250, Online. Association for Computational Linguistics.