2024 EACL EACL 2024

TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization

Abstract

AbstractThis 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}}

🧭 Keyword Pioneer — neural text summarization
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Natural Language Processing