Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization.
Pancheng Wang|Shasha Li|Dong Li|Kehan Long|Jintao Tang|Ting Wang
| Anthology ID: | DBLP:conf/sigir/Wang0LLTW24 |
|---|---|
| Volume: | Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 |
| Year: | 2024 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2028-2037 |
| URL: | https://doi.org/10.1145/3626772.3657705 |
| DOI: | https://doi.org/10.1145/3626772.3657705 |
| DBLP: | conf/sigir/Wang0LLTW24 |
| BibTeX: |
@inproceedings{wang-2024-disentangling,
author = {Pancheng Wang and
Shasha Li and
Dong Li and
Kehan Long and
Jintao Tang and
Ting Wang},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization}},
booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}},
pages = {2028--2037},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657705},
doi = {https://doi.org/10.1145/3626772.3657705}
}