LEIA: Linguistic Embeddings for the Identification of Affect von Aroyehun, Segun Taofeek, Malik, Lukas, Metzler, Hannah, Haimerl, Nikolas, Di Natale, Anna, Garcia, David

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Could a shift in society’s conception of ‘honesty’ explain the spread of misinformation in the USA? von Lasser, Jana, Aroyehun, Segun Taofeek

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Leveraging label hierarchy using transfer and multi-task learning: A case study on patent classification von Aroyehun, Segun Taofeek, Angel, Jason, Majumder, Navonil, Gelbukh, Alexander, Hussain, Amir

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Social media sharing of low-quality news sources by political elites von Lasser, Jana, Aroyehun, Segun Taofeek, Simchon, Almog, Carrella, Fabio, Garcia, David, Lewandowsky, Stephan

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Two-Level Classifier for Detecting Categories of Offensive Language von Aroyehun, Segun Taofeek, Gelbukh, Alexander, Sidorov, Grigori

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A multitask learning framework for leveraging subjectivity of annotators to identify misogyny von Angel, Jason, Aroyehun, Segun Taofeek, Sidorov, Grigori, Gelbukh, Alexander

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Computational analysis of US Congressional speeches reveals a shift from evidence to intuition von Aroyehun, Segun Taofeek, Simchon, Almog, Carrella, Fabio, Lasser, Jana, Lewandowsky, Stephan, Garcia, David

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NLP-CIC @ PRELEARN: Mastering prerequisites relations, from handcrafted features to embeddings von Angel, Jason, Aroyehun, Segun Taofeek, Gelbukh, Alexander

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LEIA: Linguistic Embeddings for the Identification of Affect von Aroyehun, Segun Taofeek, Malik, Lukas, Metzler, Hannah, Haimerl, Nikolas, Di Natale, Anna, Garcia, David

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Collective moderation of hate, toxicity, and extremity in online discussions von Lasser, Jana, Herderich, Alina, Garland, Joshua, Aroyehun, Segun Taofeek, Garcia, David, Galesic, Mirta

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From alternative conceptions of honesty to alternative facts in communications by U.S. politicians von Lasser, Jana, Aroyehun, Segun Taofeek, Carrella, Fabio, Simchon, Almog, Garcia, David, Lewandowsky, Stephan

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Social media sharing by political elites: An asymmetric American exceptionalism von Lasser, Jana, Aroyehun, Segun Taofeek, Simchon, Almog, Carrella, Fabio, Garcia, David, Lewandowsky, Stephan

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NLP-CIC at SemEval-2020 Task 9: Analysing sentiment in code-switching language using a simple deep-learning classifier von Angel, Jason, Aroyehun, Segun Taofeek, Tamayo, Antonio, Gelbukh, Alexander

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Computational analysis of US Congressional speeches reveals a shift from evidence to intuition von Aroyehun, Segun Taofeek, Almog Simchon, Carrella, Fabio, Lasser, Jana, Lewandowsky, Stephan, Garcia, David

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NLP-CIC @ PRELEARN: Mastering prerequisites relations, from handcrafted features to embeddings von Angel, Jason, Aroyehun, Segun Taofeek, Gelbukh, Alexander

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Collective moderation of hate, toxicity, and extremity in online discussions von Lasser, Jana, Herderich, Alina, Garland, Joshua, Aroyehun, Segun Taofeek, Garcia, David, Galesic, Mirta

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NLP-CIC @ PRELEARN: Mastering Prerequisites Relations, from Handcrafted Features to Embeddings von Angel, Jason, Aroyehun, Segun Taofeek, Gelbukh, Alexander

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From alternative conceptions of honesty to alternative facts in communications by U.S. politicians von Lasser, Jana, Aroyehun, Segun Taofeek, Carrella, Fabio, Almog Simchon, Garcia, David, Lewandowsky, Stephan

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LEIA: Linguistic Embeddings for the Identification of Affect von Aroyehun, Segun Taofeek, Malik, Lukas, Metzler, Hannah, Haimerl, Nikolas, Anna Di Natale, Garcia, David

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NLP-CIC at SemEval-2020 Task 9: Analysing sentiment in code-switching language using a simple deep-learning classifier von Angel, Jason, Aroyehun, Segun Taofeek, Tamayo, Antonio, Gelbukh, Alexander

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