TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization
S. Syed, K. Al Khatib, and M. Potthast. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, page 195--206. St. Julians, Malta, Association for Computational Linguistics, (March 2024)
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 urlhttps://www.tldr-progress.de, a demo video at urlhttps://youtu.be/uCVRGFvXUj8
%0 Conference Paper
%1 syed-etal-2024-tl
%A Syed, Shahbaz
%A Al Khatib, Khalid
%A Potthast, Martin
%B Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
%C St. Julians, Malta
%D 2024
%E Aletras, Nikolaos
%E De Clercq, Orphee
%I Association for Computational Linguistics
%K topic_language imported
%P 195--206
%T TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization
%U https://aclanthology.org/2024.eacl-demo.21
%X 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 urlhttps://www.tldr-progress.de, a demo video at urlhttps://youtu.be/uCVRGFvXUj8
@inproceedings{syed-etal-2024-tl,
abstract = {This paper presents TL;DR Progress, a new tool for exploring the literature on neural text summarization. It organizes 514{\textasciitilde}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}}},
added-at = {2024-11-19T15:34:37.000+0100},
address = {St. Julians, Malta},
author = {Syed, Shahbaz and Al Khatib, Khalid and Potthast, Martin},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2f97f4ce79342a52e841925dfb39c6d17/scadsfct},
booktitle = {Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations},
editor = {Aletras, Nikolaos and De Clercq, Orphee},
interhash = {fed1ab6f36553b57b72d6a8b4cc3d44b},
intrahash = {f97f4ce79342a52e841925dfb39c6d17},
keywords = {topic_language imported},
month = mar,
pages = {195--206},
publisher = {Association for Computational Linguistics},
timestamp = {2024-11-22T15:47:38.000+0100},
title = {{TL};{DR} Progress: Multi-faceted Literature Exploration in Text Summarization},
url = {https://aclanthology.org/2024.eacl-demo.21},
year = 2024
}
