@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://preview.aclanthology.org/add-emnlp-2024-awards/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{\}}{\}}"
}