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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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Abstract:
The great majority of languages in the world are considered under-resourced for the successful application of deep learning methods. In this work, we propose a meta-learning approach to document classification in limited-resource setting and demonstrate its effectiveness in two different settings: few-shot, cross-lingual adaptation to previously unseen languages; and multilingual joint training when limited target-language data is available during training. We conduct a systematic comparison of several meta-learning methods, investigate multiple settings in terms of data availability and show that meta-learning thrives in settings with a heterogeneous task distribution. We propose a simple, yet effective adjustment to existing meta-learning methods which allows for better and more stable learning, and set a new state of the art on several languages while performing on-par on others, using only a small amount of labeled data. ... : 11 pages, 1 figure ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2101.11302 https://dx.doi.org/10.48550/arxiv.2101.11302
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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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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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