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Episodic memory demands modulate novel metaphor use during event narration
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Multilingual and cross-lingual document classification: A meta-learning approach ...
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Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ...
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Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ...
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Cross-neutralising: Probing for joint encoding of linguistic information in multilingual models ...
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Joint Modelling of Emotion and Abusive Language Detection ...
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What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties ...
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SemEval-2020 Task 2: Predicting multilingual and cross-lingual (graded) lexical entailment
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Decoding Brain Activity Associated with Literal and Metaphoric Sentence Comprehension Using Distributional Semantic Models
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In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 231-246 (2020) (2020)
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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
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In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02425462 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2019, 45 (3), pp.559-601. ⟨10.1162/coli_a_00357⟩ ; https://www.mitpressjournals.org/doi/abs/10.1162/coli_a_00357 (2019)
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Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. ...
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Abusive Language Detection with Graph Convolutional Networks ...
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A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings ...
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Learning Outside the Box: Discourse-level Features Improve Metaphor Identification ...
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Abusive Language Detection with Graph Convolutional Networks ...
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Tackling Online Abuse: A Survey of Automated Abuse Detection Methods ...
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Abstract:
Abuse on the Internet represents an important societal problem of our time. Millions of Internet users face harassment, racism, personal attacks, and other types of abuse on online platforms. The psychological effects of such abuse on individuals can be profound and lasting. Consequently, over the past few years, there has been a substantial research effort towards automated abuse detection in the field of natural language processing (NLP). In this paper, we present a comprehensive survey of the methods that have been proposed to date, thus providing a platform for further development of this area. We describe the existing datasets and review the computational approaches to abuse detection, analyzing their strengths and limitations. We discuss the main trends that emerge, highlight the challenges that remain, outline possible solutions, and propose guidelines for ethics and explainability ... : In preparation for Computational Linguistics ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1908.06024 https://arxiv.org/abs/1908.06024
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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing ...
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Learning Outside the Box: Discourse-level Features Improve Metaphor Identification.
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Abusive Language Detection with Graph Convolutional Networks
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