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MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ...
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MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ...
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Text Adjuncts and Comprehension with University Level Second Language Readers ...
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Liu, Huan. - : Washington University in St. Louis, 2021
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Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach ...
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Learning to Selectively Learn for Weakly-supervised Paraphrase Generation ...
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"Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis ...
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MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ...
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Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation
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In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 14 (2020): Fourteenth International AAAI Conference on Web and Social Media; 626-637 ; 2334-0770 ; 2162-3449 (2020)
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The Chinese Version of Rochester Participatory Decision-Making Scale (RPAD): Reliability and Validity
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In: Evid Based Complement Alternat Med (2020)
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Probabilistic Relational Supervised Topic Modelling using Word Embeddings
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Identifying Rhetorical Questions in Social Media
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In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 10 No. 1 (2016): Tenth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2016)
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A Study on College English Teaching System Characterized by Need-Oriented Cultivation and Personalized Development: Illustrated by the Reform Practice in China University of Petroleum
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In: Studies in Literature and Language; Vol 10, No 4 (2015): Studies in Literature and Language; 115-123 ; 1923-1563 ; 1923-1555 (2015)
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Finding Eyewitness Tweets During Crises ...
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Abstract:
Disaster response agencies have started to incorporate social media as a source of fast-breaking information to understand the needs of people affected by the many crises that occur around the world. These agencies look for tweets from within the region affected by the crisis to get the latest updates of the status of the affected region. However only 1% of all tweets are geotagged with explicit location information. First responders lose valuable information because they cannot assess the origin of many of the tweets they collect. In this work we seek to identify non-geotagged tweets that originate from within the crisis region. Towards this, we address three questions: (1) is there a difference between the language of tweets originating within a crisis region and tweets originating outside the region, (2) what are the linguistic patterns that can be used to differentiate within-region and outside-region tweets, and (3) for non-geotagged tweets, can we automatically identify those originating within the ...
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Keyword:
Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1403.1773 https://dx.doi.org/10.48550/arxiv.1403.1773
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Invited Speaker Support for SBP Conference Series (SBP 2014) held in April, 2014 in Washington, DC.
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