Fine-Tuning Textrank for Legal Document Summarization: A Bayesian Optimization Based Approach.
Deepali Jain|Malaya Dutta Borah|Anupam Biswas
| Anthology ID: | DBLP:conf/fire/JainBB20 |
|---|---|
| Volume: | FIRE 2020: Forum for Information Retrieval Evaluation, Hyderabad, India, December 16-20, 2020 |
| Year: | 2020 |
| Venue: | Forum for Information Retrieval Evaluation (FIRE) |
| Publisher: | ACM |
| Pages: | 41-48 |
| URL: | https://doi.org/10.1145/3441501.3441502 |
| DOI: | https://doi.org/10.1145/3441501.3441502 |
| DBLP: | conf/fire/JainBB20 |
| BibTeX: |
@inproceedings{jain-2020-finetuning,
author = {Deepali Jain and
Malaya Dutta Borah and
Anupam Biswas},
editor = {Prasenjit Majumder and
Mandar Mitra and
Surupendu Gangopadhyay and
Parth Mehta},
title = {{Fine-Tuning Textrank for Legal Document Summarization: A Bayesian Optimization Based Approach}},
booktitle = {{FIRE 2020: Forum for Information Retrieval Evaluation, Hyderabad, India, December 16-20, 2020}},
pages = {41--48},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3441501.3441502},
doi = {https://doi.org/10.1145/3441501.3441502}
}