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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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Abstract:
Most current approaches to metaphor identification use restricted linguistic contexts, e.g. by considering only a verb's arguments or the sentence containing a phrase. Inspired by pragmatic accounts of metaphor, we argue that broader discourse features are crucial for better metaphor identification. We train simple gradient boosting classifiers on representations of an utterance and its surrounding discourse learned with a variety of document embedding methods, obtaining near state-of-the-art results on the 2018 VU Amsterdam metaphor identification task without the complex metaphor-specific features or deep neural architectures employed by other systems. A qualitative analysis further confirms the need for broader context in metaphor processing. ... : NAACL 2019; 6 pages; code available at https://github.com/jayelm/broader-metaphor; v2 updates affiliations and acknowledgments ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1904.02246 https://dx.doi.org/10.48550/arxiv.1904.02246
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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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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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