TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization

Shahbaz Syed, Khalid Al Khatib, Martin Potthast


Abstract
This paper presents TL;DR Progress, a new tool for exploring the literature on neural text summarization. It organizes 514~papers based on a comprehensive annotation scheme for text summarization approaches and enables fine-grained, faceted search. Each paper was manually annotated to capture aspects such as evaluation metrics, quality dimensions, learning paradigms, challenges addressed, datasets, and document domains. In addition, a succinct indicative summary is provided for each paper, describing contextual factors, issues, and proposed solutions. The tool is available at {url{https://www.tldr-progress.de}}, a demo video at {url{https://youtu.be/uCVRGFvXUj8}}
Anthology ID:
2024.eacl-demo.21
Volume:
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
Month:
March
Year:
2024
Address:
St. Julians, Malta
Editors:
Nikolaos Aletras, Orphee De Clercq
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
195–206
Language:
URL:
https://aclanthology.org/2024.eacl-demo.21
DOI:
Bibkey:
Cite (ACL):
Shahbaz Syed, Khalid Al Khatib, and Martin Potthast. 2024. TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 195–206, St. Julians, Malta. Association for Computational Linguistics.
Cite (Informal):
TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization (Syed et al., EACL 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.eacl-demo.21.pdf