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, consisting of automatically extracted contextual factors, issues, and proposed solutions. The tool is available online at https://www.tldr-progress.de, a demo video at https://youtu.be/uCVRGFvXUj8
@article{arxiv.2402.06913,
title = {TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization},
author = {Shahbaz Syed and Khalid Al-Khatib and Martin Potthast},
journal= {arXiv preprint arXiv:2402.06913},
year = {2024}
}