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Giveme5W: Main Event Retrieval from News Articles by Extraction of the Five Journalistic W Questions.

, , , , и . iConference, том 10766 из Lecture Notes in Computer Science, стр. 356-366. Springer, (2018)

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NewsMTSC: A Dataset for (Multi-)Target-dependent Sentiment Classification in Political News Articles., и . EACL, стр. 1663-1675. Association for Computational Linguistics, (2021)Media Bias in German News Articles: A Combined Approach., , и . PKDD/ECML Workshops, том 1323 из Communications in Computer and Information Science, стр. 581-590. Springer, (2020)Assisted Text Annotation Using Active Learning to Achieve High Quality with Little Effort., , , и . JCDL, стр. 287-288. IEEE, (2021)Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias., , , , и . JCDL, стр. 389-392. ACM, (2020)Giveme5W1H: A Universal System for Extracting Main Events from News Articles., , и . INRA@RecSys, том 2554 из CEUR Workshop Proceedings, стр. 35-43. CEUR-WS.org, (2019)news-please - A Generic News Crawler and Extractor., , , и . ISI, том 70 из Schriften zur Informationswissenschaft, стр. 218-223. Verlag Werner Hülsbusch, (2017)Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons., , , и . iConference (1), том 12645 из Lecture Notes in Computer Science, стр. 514-526. Springer, (2021)Introducing MathQA - A Math-Aware Question Answering System., , , , , и . CoRR, (2019)Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias., , , , и . CoRR, (2021)How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption?, , , , и . CoRR, (2021)