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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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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 ...
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Analysing Lexical Semantic Change with Contextualised Word Representations ...
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Abstract:
This paper presents the first unsupervised approach to lexical semantic change that makes use of contextualised word representations. We propose a novel method that exploits the BERT neural language model to obtain representations of word usages, clusters these representations into usage types, and measures change along time with three proposed metrics. We create a new evaluation dataset and show that the model representations and the detected semantic shifts are positively correlated with human judgements. Our extensive qualitative analysis demonstrates that our method captures a variety of synchronic and diachronic linguistic phenomena. We expect our work to inspire further research in this direction. ... : To appear in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL-2020) ...
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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/2004.14118 https://dx.doi.org/10.48550/arxiv.2004.14118
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Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping
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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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Identifying robust markers of Parkinson's disease in typing behaviour using a CNN-LSTM network.
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Evaluating the Representational Hub of Language and Vision Models ...
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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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You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP ...
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Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering ...
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La adquisición del lenguaje de tres a seis años y sus posibles trastornos
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Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat ...
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