Do Extractive Summarization Algorithms Amplify Lexical Bias in News Articles?
Rei Shimizu|Sumio Fujita|Tetsuya Sakai
| Anthology ID: | DBLP:conf/ictir/ShimizuFS22 |
|---|---|
| Volume: | ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022 |
| Year: | 2022 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 133-137 |
| URL: | https://doi.org/10.1145/3539813.3545123 |
| DOI: | https://doi.org/10.1145/3539813.3545123 |
| DBLP: | conf/ictir/ShimizuFS22 |
| BibTeX: |
@inproceedings{shimizu-2022-extractive,
author = {Rei Shimizu and
Sumio Fujita and
Tetsuya Sakai},
editor = {Fabio Crestani and
Gabriella Pasi and
\'{E}ric Gaussier},
title = {{Do Extractive Summarization Algorithms Amplify Lexical Bias in News Articles?}},
booktitle = {{ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022}},
pages = {133--137},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3539813.3545123},
doi = {https://doi.org/10.1145/3539813.3545123}
}