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1
Episodic memory demands modulate novel metaphor use during event narration
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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2
Multilingual and cross-lingual document classification: A meta-learning approach ...
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3
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? ...
Abstract: In this paper, we investigate what types of stereotypical information are captured by pretrained language models. We present the first dataset comprising stereotypical attributes of a range of social groups and propose a method to elicit stereotypes encoded by pretrained language models in an unsupervised fashion. Moreover, we link the emergent stereotypes to their manifestation as basic emotions as a means to study their emotional effects in a more generalized manner. To demonstrate how our methods can be used to analyze emotion and stereotype shifts due to linguistic experience, we use fine-tuning on news sources as a case study. Our experiments expose how attitudes towards different social groups vary across models and how quickly emotions and stereotypes can shift at the fine-tuning stage. ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2109.10052
https://arxiv.org/abs/2109.10052
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5
Cross-neutralising: Probing for joint encoding of linguistic information in multilingual models ...
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6
Joint Modelling of Emotion and Abusive Language Detection ...
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7
What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties ...
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8
SemEval-2020 Task 2: Predicting multilingual and cross-lingual (graded) lexical entailment
Glavaš, Goran; Vulić, Ivan; Korhonen, Anna. - : Association for Computational Linguistics, 2020
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9
Decoding Brain Activity Associated with Literal and Metaphoric Sentence Comprehension Using Distributional Semantic Models
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 231-246 (2020) (2020)
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10
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
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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11
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. ...
Mu, Jesse; Yannakoudakis, Helen; Shutova, Ekaterina. - : Apollo - University of Cambridge Repository, 2019
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12
Abusive Language Detection with Graph Convolutional Networks ...
Mishra, Pushkar; Del Tredici, Marco; Yannakoudakis, Helen. - : Apollo - University of Cambridge Repository, 2019
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13
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings ...
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14
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification ...
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15
Abusive Language Detection with Graph Convolutional Networks ...
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16
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods ...
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17
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing ...
Ponti, Edoardo; O'Horan, Helen; Berzak, Yevgeni. - : Apollo - University of Cambridge Repository, 2019
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18
Author Profiling for Hate Speech Detection ...
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19
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification.
Mu, Jesse; Yannakoudakis, Helen; Shutova, Ekaterina. - : In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics., 2019
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20
Abusive Language Detection with Graph Convolutional Networks
Mishra, Pushkar; Del Tredici, Marco; Yannakoudakis, Helen. - : Association for Computational Linguistics, 2019. : Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
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