Extending Multi-Document Summarization Evaluation to the Interactive Setting

Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan


Abstract
Allowing users to interact with multi-document summarizers is a promising direction towards improving and customizing summary results. Different ideas for interactive summarization have been proposed in previous work but these solutions are highly divergent and incomparable. In this paper, we develop an end-to-end evaluation framework for interactive summarization, focusing on expansion-based interaction, which considers the accumulating information along a user session. Our framework includes a procedure of collecting real user sessions, as well as evaluation measures relying on summarization standards, but adapted to reflect interaction. All of our solutions and resources are available publicly as a benchmark, allowing comparison of future developments in interactive summarization, and spurring progress in its methodological evaluation. We demonstrate the use of our framework by evaluating and comparing baseline implementations that we developed for this purpose, which will serve as part of our benchmark. Our extensive experimentation and analysis motivate the proposed evaluation framework design and support its viability.
Anthology ID:
2021.naacl-main.54
Volume:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:
June
Year:
2021
Address:
Online
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
657–677
Language:
URL:
https://aclanthology.org/2021.naacl-main.54
DOI:
10.18653/v1/2021.naacl-main.54
Bibkey:
Cite (ACL):
Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, and Ido Dagan. 2021. Extending Multi-Document Summarization Evaluation to the Interactive Setting. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 657–677, Online. Association for Computational Linguistics.
Cite (Informal):
Extending Multi-Document Summarization Evaluation to the Interactive Setting (Shapira et al., NAACL 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.naacl-main.54.pdf
Video:
 https://aclanthology.org/2021.naacl-main.54.mp4
Code
 OriShapira/InterExp