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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.5500223 https://zenodo.org/record/5500223
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Abusive Language Detection with Graph Convolutional Networks ...
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Abusive Language Detection with Graph Convolutional Networks ...
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A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains ...
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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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Abusive Language Detection with Graph Convolutional Networks
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The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities ...
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Tracing metaphors in time through self-distance in vector spaces ...
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A word-embedding-based sense index for regular polysemy representation
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