ContriSci: A BERT-Based Multitasking Deep Neural Architecture to Identify Contribution Statements from Research Papers

Komal Gupta, Ammaar Ahmad, Tirthankar Ghosal, Asif Ekbal. ContriSci: A BERT-Based Multitasking Deep Neural Architecture to Identify Contribution Statements from Research Papers. In Hao-Ren Ke, Chei Sian Lee, Kazunari Sugiyama, editors, Towards Open and Trustworthy Digital Societies - 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, Virtual Event, December 1-3, 2021, Proceedings. Volume 13133 of Lecture Notes in Computer Science, pages 436-452, Springer, 2021. [doi]

@inproceedings{GuptaAGE21,
  title = {ContriSci: A BERT-Based Multitasking Deep Neural Architecture to Identify Contribution Statements from Research Papers},
  author = {Komal Gupta and Ammaar Ahmad and Tirthankar Ghosal and Asif Ekbal},
  year = {2021},
  doi = {10.1007/978-3-030-91669-5_34},
  url = {https://doi.org/10.1007/978-3-030-91669-5_34},
  researchr = {https://researchr.org/publication/GuptaAGE21},
  cites = {0},
  citedby = {0},
  pages = {436-452},
  booktitle = {Towards Open and Trustworthy Digital Societies - 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, Virtual Event, December 1-3, 2021, Proceedings},
  editor = {Hao-Ren Ke and Chei Sian Lee and Kazunari Sugiyama},
  volume = {13133},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-91669-5},
}