TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization
This tool aids researchers in navigating the literature on text summarization, but it is incremental as it builds on existing annotation and search methods.
The authors introduced TL;DR Progress, a tool for exploring 514 papers on neural text summarization by organizing them with a comprehensive annotation scheme and enabling fine-grained search, including manual annotations and automatically generated summaries.
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