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Data Driven and Psycholinguistics Motivated Approaches to Hate Speech Detection
Journal of Computacion y Sistemas, 2020Computational models of hate speech detection and related tasks (e.g., detecting misogyny, racism, xenophobia, homophobia etc.) have emerged as major Natural Language Processing (NLP) research topics in recent years. In the present work, we investigate a
Samuel Caetano Silva +3 more
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The Problem of Comprehension in Psycholinguistics
Discourse Processes, 2019Most research in psycholinguistics relies on online measures such as reading time to inform and test theories of language comprehension. However, the value of offline measures such as question-answering performance is sometimes overlooked in sentence ...
F. Ferreira, Zoe Yang
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On the Proper Treatment of Tokenization in Psycholinguistics
Conference on Empirical Methods in Natural Language ProcessingLanguage models are widely used in computational psycholinguistics to test theories that relate the negative log probability (the surprisal) of a region of interest (a substring of characters) under a language model to its cognitive cost experienced by ...
Mario Giulianelli +5 more
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The Oxford Handbook of Psycholinguistics
, 2007This handbook reviews the current state of the art in the field of psycholinguistics. Part I deals with language comprehension at the sublexical, lexical, and sentence and discourse levels. It explores concepts of speech representation and the search for
M. Gaskell, G. Altmann
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Linguistic and psycholinguistics twelve years after Chomsky’s review of Skinner’s verbal behavior
, 2017H. Cairns, Charles E. Cains
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Computational Theories of Learning and Developmental Psycholinguistics
, 2016Jeffrey Heinz
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