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Where the Truth Lies: Explaining the Credibility of Emerging Claims on the Web and Social Media.

, , , and . WWW (Companion Volume), page 1003-1012. ACM, (2017)

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Multilingual End to End Entity Linking., , , , , , , and . CoRR, (2023)Labeling Educational Content with Academic Learning Standards., , , , , and . SDM, page 136-144. SIAM, (2015)The Haves and the Have-Nots: Leveraging Unlabelled Corpora for Sentiment Analysis., , , and . ACL (1), page 412-422. The Association for Computer Linguistics, (2013)Multilingual Autoregressive Entity Linking., , , , , , , , , and . Trans. Assoc. Comput. Linguistics, (2022)Entity Tagging: Extracting Entities in Text Without Mention Supervision., , , and . CoRR, (2022)Making Headlines in Hindi: Automatic English to Hindi News Headline Translation., , , and . IJCNLP, page 21-24. Asian Federation of Natural Language Processing / ACL, (2013)Open Vocabulary Extreme Classification Using Generative Models., , , , , , and . ACL (Findings), page 1561-1583. Association for Computational Linguistics, (2022)Smarter learning content management using the Learning Content Hub., , , , , , , , and . IBM J. Res. Dev., (2015)Credibility Assessment of Textual Claims on the Web, , , and . Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, page 2173--2178. New York, NY, USA, ACM, (2016)Assessing the Credibility of Claims on the Web.. WWW (Companion Volume), page 735-739. ACM, (2017)