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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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DUPS: Diachronic Usage Pair Similarity ...
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Abstract:
The DUPS (Diachronic Usage Pair Similarity) dataset contains similarity judgements of English word usage pairs from different time periods, as described in the paper below. The WUG version of the DUPS dataset (version 2.0.0) contains diachronic Word Usage Graphs constructed from the similarity judgements of English word usage pairs contained in DUPS. In a word usage graph, the usages of a word are represented as nodes connected by edges weighted according to (human-annotated) semantic proximity. A description of the data format as well as the code used to generate the graphs from DUPS can be found at https://www.ims.uni-stuttgart.de/data/wugs. Both versions of the DUPS dataset can be downloaded from the Files section of this web page. Please cite this paper if you use any version of the dataset in your work: Mario Giulianelli, Marco Del Tredici, and Raquel Fernández. 2020. Analysing Lexical Semantic Change with Contextualised Word Representations. In Proceedings of the 58th Annual Meeting of the Association ...
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Keyword:
lexical semantic change; linguistics; natural language processing; word similarity judgements
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URL: https://dx.doi.org/10.5281/zenodo.3773249 https://zenodo.org/record/3773249
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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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