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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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Analysing Lexical Semantic Change with Contextualised Word Representations ...
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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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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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Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat ...
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The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities ...
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Semantic Variation in Online Communities of Practice ...
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Abstract:
We introduce a framework for quantifying semantic variation of common words in Communities of Practice and in sets of topic-related communities. We show that while some meaning shifts are shared across related communities, others are community-specific, and therefore independent from the discussed topic. We propose such findings as evidence in favour of sociolinguistic theories of socially-driven semantic variation. Results are evaluated using an independent language modelling task. Furthermore, we investigate extralinguistic features and show that factors such as prominence and dissemination of words are related to semantic variation. ... : 13 pages, Proceedings of the 12th International Conference on Computational Semantics (IWCS 2017) ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1806.05847 https://dx.doi.org/10.48550/arxiv.1806.05847
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The LAMBADA dataset: Word prediction requiring a broad discourse context ...
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