Publikation: Quote Erat Demonstrandum : A Web Interface for Exploring the Quotebank Corpus
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2022
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Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22). New York, NY: ACM, 2022, pp. 3350-3354. ISBN 978-1-4503-8732-3. Available under: doi: 10.1145/3477495.3531696
Zusammenfassung
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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004 Informatik
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Quote, Quote corpus, News, Search, Adaptive Interface
Konferenz
45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22), 11. Juli 2022 - 15. Juli 2022, Madrid, Spain
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VUKOVIĆ, Vuk, Akhil ARORA, Huan-Cheng CHANG, Andreas SPITZ, Robert WEST, 2022. Quote Erat Demonstrandum : A Web Interface for Exploring the Quotebank Corpus. 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22). Madrid, Spain, 11. Juli 2022 - 15. Juli 2022. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22). New York, NY: ACM, 2022, pp. 3350-3354. ISBN 978-1-4503-8732-3. Available under: doi: 10.1145/3477495.3531696BibTex
@inproceedings{Vukovic2022-07-07T21:41:03ZQuote-58346,
year={2022},
doi={10.1145/3477495.3531696},
title={Quote Erat Demonstrandum : A Web Interface for Exploring the Quotebank Corpus},
isbn={978-1-4503-8732-3},
publisher={ACM},
address={New York, NY},
booktitle={Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22)},
pages={3350--3354},
author={Vuković, Vuk and Arora, Akhil and Chang, Huan-Cheng and Spitz, Andreas and West, Robert}
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<dcterms:abstract xml:lang="eng">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.</dcterms:abstract>
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