@inproceedings{syed-etal-2024-tl,
title = "{TL};{DR} Progress: Multi-faceted Literature Exploration in Text Summarization",
author = "Syed, Shahbaz and
Al Khatib, Khalid and
Potthast, Martin",
editor = "Aletras, Nikolaos and
De Clercq, Orphee",
booktitle = "Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
month = mar,
year = "2024",
address = "St. Julians, Malta",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.eacl-demo.21/",
pages = "195--206",
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{\}}{\}}"
}
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%0 Conference Proceedings
%T TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization
%A Syed, Shahbaz
%A Al Khatib, Khalid
%A Potthast, Martin
%Y Aletras, Nikolaos
%Y De Clercq, Orphee
%S Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julians, Malta
%F syed-etal-2024-tl
%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 {url{https://www.tldr-progress.de}}, a demo video at {url{https://youtu.be/uCVRGFvXUj8}}
%U https://aclanthology.org/2024.eacl-demo.21/
%P 195-206
Markdown (Informal)
[TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization](https://aclanthology.org/2024.eacl-demo.21/) (Syed et al., EACL 2024)
ACL