Towards Quantitative Summarization Evaluation: An Integrated Atomic-Based Evaluation Framework and Dataset for Text Summarization.

Yan Lei|Suncong Zheng|Roberts Wang|Liang Pang|Lei He|Shuang Chen|Yu Wang|Huawei Shen|Xueqi Cheng|Yuanzhuo Wang


Anthology ID:DBLP:conf/ecir/LeiZWPHCWSCW26
Volume:Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part I
Year:2026
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:320-335
URL:https://doi.org/10.1007/978-3-032-21289-4_21
DOI:https://doi.org/10.1007/978-3-032-21289-4_21
DBLP:conf/ecir/LeiZWPHCWSCW26
BibTeX:
@inproceedings{lei-2026-towards, author = {Yan Lei and Suncong Zheng and Roberts Wang and Liang Pang and Lei He and Shuang Chen and Yu Wang and Huawei Shen and Xueqi Cheng and Yuanzhuo Wang}, editor = {Ricardo Campos and Adam Jatowt and Yanyan Lan and Mohammad Aliannejadi and Christine Bauer and Sean MacAvaney and Avishek Anand and Zhaochun Ren and Suzan Verberne and Nan Bai and Masoud Mansoury}, title = {{Towards Quantitative Summarization Evaluation: An Integrated Atomic-Based Evaluation Framework and Dataset for Text Summarization}}, booktitle = {{Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part I}}, series = {Lecture Notes in Computer Science}, volume = {16483}, pages = {320--335}, publisher = {Springer}, year = {2026}, url = {https://doi.org/10.1007/978-3-032-21289-4_21}, doi = {https://doi.org/10.1007/978-3-032-21289-4_21} }