Extracting Methodology Components from AI Research Papers: A Data-driven Factored Sequence Labeling Approach.
Madhusudan Ghosh|Debasis Ganguly|Partha Basuchowdhuri|Sudip Kumar Naskar
| Anthology ID: | DBLP:conf/cikm/GhoshGBN23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3897-3901 |
| URL: | https://doi.org/10.1145/3583780.3615258 |
| DOI: | https://doi.org/10.1145/3583780.3615258 |
| DBLP: | conf/cikm/GhoshGBN23 |
| BibTeX: |
@inproceedings{ghosh-2023-extracting,
author = {Madhusudan Ghosh and
Debasis Ganguly and
Partha Basuchowdhuri and
Sudip Kumar Naskar},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Extracting Methodology Components from AI Research Papers: A Data-driven Factored Sequence Labeling Approach}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {3897--3901},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615258},
doi = {https://doi.org/10.1145/3583780.3615258}
}