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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? ...
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5
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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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)
Abstract: International audience ; Linguistic typology aims to capture structural and semantic variation across the world’s languages. A large-scale typology could provide excellent guidance for multilingual Natural Language Processing (NLP), particularly for languages that suffer from the lack of human labeled resources. We present an extensive literature survey on the use of typological information in the development of NLP techniques. Our survey demonstrates that to date, the use of information in existing typological databases has resulted in consistent but modest improvements in system performance. We show that this is due to both intrinsic limitations of databases (in terms of coverage and feature granularity) and under-utilization of the typological features included in them. We advocate for a new approach that adapts the broad and discrete nature of typological categories to the contextual and continuous nature of machine learning algorithms used in contemporary NLP. In particular, we suggest that such an approach could be facilitated by recent developments in data-driven induction of typological knowledge.
Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS.STAT]Humanities and Social Sciences/Methods and statistics; Computational linguistics; Typology
URL: https://hal.archives-ouvertes.fr/hal-02425462
https://hal.archives-ouvertes.fr/hal-02425462/file/coli_a_00357-Ponti.pdf
https://hal.archives-ouvertes.fr/hal-02425462/document
https://doi.org/10.1162/coli_a_00357
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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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