Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus
July 07, 2022 Β· Declared Dead Β· π Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
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Authors
Vuk VukoviΔ, Akhil Arora, Huan-Cheng Chang, Andreas Spitz, Robert West
arXiv ID
2207.03592
Category
cs.IR: Information Retrieval
Cross-listed
cs.CL,
cs.DB
Citations
7
Venue
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Last Checked
4 months ago
Abstract
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.
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