Segmenting Scientific Abstracts into Discourse Categories: A Deep Learning-Based Approach for Sparse Labeled Data-Reference-Cited by-同舟云学术

Segmenting Scientific Abstracts into Discourse Categories: A Deep Learning-Based Approach for Sparse Labeled Data

Published:2020-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020
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Author:

Banerjee Soumya¹,Sanyal Debarshi Kumar¹,Chattopadhyay Samiran²,Bhowmick Plaban Kumar¹,Das Partha Pratim¹

Affiliation:

1. Indian Institute of Technology Kharagpur, Kharagpur, India

2. Jadavpur University, Kolkata, India

Funder

National Digital Library of India Project sponsored by the Ministry of Human Resource Development, Government of India at IIT Kharagpur

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3383583.3398598

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4. Franck Dernoncourt and Ji Young Lee. 2017. PubMed 200k RCT: a dataset for sequential sentence classification in medical abstracts. arXiv preprint arXiv:1710.06071 (2017). Franck Dernoncourt and Ji Young Lee. 2017. PubMed 200k RCT: a dataset for sequential sentence classification in medical abstracts. arXiv preprint arXiv:1710.06071 (2017).

5. Di Jin and Peter Szolovits. 2018. Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts. arXiv preprint arXiv:1808.06161 (2018). Di Jin and Peter Szolovits. 2018. Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts. arXiv preprint arXiv:1808.06161 (2018).

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