Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus
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Abstract (arXiv)
The use of attributed quotes is the most direct and least filtered pathway of information propagation in news. Consequently, quotes play a central role in the conception, reception, and analysis of news stories. Since quotes provide a more direct window into a speaker's mind than regular reporting, they are a valuable resource for journalists and researchers alike. While substantial research efforts have been devoted to methods for the automated extraction of quotes from news and their attribution to speakers, few comprehensive corpora of attributed quotes from contemporary sources are available to the public. Here, we present an adaptive web interface for searching Quotebank, a massive collection of quotes from the news, which we make available at https://quotebank.dlab.tools.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 6 of its 21 references that are in the map. First posted on arXiv 7 Jul 2022.
Builds on
6 of 21 references.
References · 6
- 2019Automated Fact Checking in the News Roomcited by 13
- 2021DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News Articlescited by 10
- 2015QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patternscited by 8
- 2018Quootstrap: Scalable Unsupervised Extraction of Quotation-Speaker Pairs from Large News Corpora via Bootstrappingcited by 6
- 2021"Don't quote me on that": Finding Mixtures of Sources in News Articlescited by 5
- 2020Context-Based Quotation Recommendationcited by 4
Built on by
Citing papers per year: 2023: 3; 2024: 1; 2025: 1.
5 papers.
- 2023The ROOTS Search Tool: Data Transparency for LLMscited by 30
- 2023GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Explorationcited by 8
- 2023Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Facecited by 3
- 2024Multi-Layer Ranking with Large Language Models for News Source Recommendationcited by 2
- 2025Getting Your Indices in a Row: Full-Text Search for LLM Training Data for Real Worldcited by 0
- 2025Getting Your Indices in a Row: Full-Text Search for LLM Training Data for Real World10 Oct 2025
- 2024Multi-Layer Ranking with Large Language Models for News Source Recommendation17 Jun 2024
- 2023GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration2 Jun 2023
- 2023Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face28 Feb 2023
- 2023The ROOTS Search Tool: Data Transparency for LLMs27 Feb 2023