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Is Information Density Uniform in Task-Oriented Dialogues? ...
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Analysing Human Strategies of Information Transmission as a Function of Discourse Context ...
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Semantic shift in social networks ...
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Syntactic Persistence in Language Models: Priming as a Window into Abstract Language Representations ...
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Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts ...
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Words are the Window to the Soul: Language-based User Representations for Fake News Detection ...
Abstract: Cognitive and social traits of individuals are reflected in language use. Moreover, individuals who are prone to spread fake news online often share common traits. Building on these ideas, we introduce a model that creates representations of individuals on social media based only on the language they produce, and use them to detect fake news. We show that language-based user representations are beneficial for this task. We also present an extended analysis of the language of fake news spreaders, showing that its main features are mostly domain independent and consistent across two English datasets. Finally, we exploit the relation between language use and connections in the social graph to assess the presence of the Echo Chamber effect in our data ...
Keyword: Computer and Information Science; Natural Language Processing; Neural Network
URL: https://underline.io/lecture/6359-words-are-the-window-to-the-soul-language-based-user-representations-for-fake-news-detection
https://dx.doi.org/10.48448/er3b-4p08
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Analysing Lexical Semantic Change with Contextualised Word Representations ...
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DUPS: Diachronic Usage Pair Similarity ...
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DUPS: Diachronic Usage Pair Similarity ...
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DUPS: Diachronic Usage Pair Similarity ...
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11
Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping
In: Cathcart, Chundra; Rama, Taraka (2020). Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping. In: Fernández, Raquel; Linzen, Tal. Proceedings of the 24th Conference on Computational Natural Language Learning. Online: Association for Computational Linguistics, 620-630. (2020)
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12
Identifying robust markers of Parkinson's disease in typing behaviour using a CNN-LSTM network.
Dhir, Neil; Bannard, Colin J; Stafford, Tom. - : Association for Computational Linguistics, 2020
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13
Evaluating the Representational Hub of Language and Vision Models ...
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14
Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts ...
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MALeViC: Modeling Adjectives Leveraging Visual Contexts ...
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MALeViC: Modeling Adjectives Leveraging Visual Contexts ...
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17
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP ...
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18
Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering ...
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19
La adquisición del lenguaje de tres a seis años y sus posibles trastornos
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20
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat ...
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