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Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)
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In: https://hal.archives-ouvertes.fr/hal-03320983 ; Association for Computational Linguistics. Online, 2021 (2021)
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AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT
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In: Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021) ; https://hal.archives-ouvertes.fr/hal-03255722 ; Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021), Aug 2021, Online, Unknown Region (2021)
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AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT
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In: Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021) ; https://hal.archives-ouvertes.fr/hal-03255722 ; Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021), Aug 2021, Online, Unknown Region (2021)
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AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT ...
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Verbal Multiword Expression Identification: Do We Need a Sledgehammer to Crack a Nut?
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In: The 28th International Conference on Computational Linguistics (COLING-20) ; https://hal.archives-ouvertes.fr/hal-03013636 ; The 28th International Conference on Computational Linguistics (COLING-20), Dec 2020, Barcelona, Spain (2020)
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Abstract:
International audience ; Automatic identification of multiword expressions (MWEs), like to cut corners 'to do an incomplete job ', is a prerequisite for semantically-oriented downstream applications. This task is challenging because MWEs, especially verbal ones (VMWEs), exhibit surface variability. This paper deals with a subproblem of VMWE identification: the identification of occurrences of previously seen VMWEs. A simple language-independent system based on a combination of filters competes with the best systems from a recent shared task: it obtains the best averaged F-score over 11 languages (0.6653) and even the best score for both seen and unseen VMWEs due to the high proportion of seen VMWEs in texts. This highlights the fact that focusing on the identification of seen VMWEs could be a strategy to improve VMWE identification in general.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
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URL: https://hal.archives-ouvertes.fr/hal-03013636 https://hal.archives-ouvertes.fr/hal-03013636/document https://hal.archives-ouvertes.fr/hal-03013636/file/paper.pdf
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To Be or Not To Be a Verbal Multiword Expression: A Quest for Discriminating Features
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In: https://hal.archives-ouvertes.fr/hal-02905874 ; 2020 (2020)
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Seen2Unseen at PARSEME Shared Task 2020: All Roads do not Lead to Unseen Verb-Noun VMWEs
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In: Joint Workshop on Multiword Expressions and Electronic Lexicons (MWE-LZX 2020) ; https://hal.archives-ouvertes.fr/hal-03014867 ; Joint Workshop on Multiword Expressions and Electronic Lexicons (MWE-LZX 2020), 2020, Barcelona, Spain (2020)
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A French corpus annotated for multiword expressions and named entities
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In: ISSN: 2299-856X ; EISSN: 2299-8470 ; Journal of Language Modelling ; https://hal.archives-ouvertes.fr/hal-03016721 ; Journal of Language Modelling, Institute of Computer Science, Polish Academy of Sciences, Poland, 2020, 8 (2), pp.415-479. ⟨10.15398/jlm.v8i2.265⟩ (2020)
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Proceedings of the Joint Workshop on Multiword Expressions and Electronic Lexicons Proceedings of the Workshop (MWE-LEX 2020)
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In: https://hal.archives-ouvertes.fr/hal-03013612 ; 2020 (2020)
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Computational phraseology discovery in corpora with the MWETOOLKIT
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In: Computational Phraseology ; https://hal.archives-ouvertes.fr/hal-02739265 ; Gloria Corpas Pastor; Jean-Pierre Colson. Computational Phraseology, 24, John Benjamins, pp.111-134, 2020, IVITRA Research in Linguistics and Literature, 9789027205353. ⟨10.1075/ivitra.24.06ram⟩ (2020)
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Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions
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In: Joint Workshop on Multiword Expressions and Electronic Lexicons (MWE-LEX 2020) ; https://hal.archives-ouvertes.fr/hal-03014927 ; Joint Workshop on Multiword Expressions and Electronic Lexicons (MWE-LEX 2020), 2020, Barcelona, Spain ; https://www.aclweb.org/anthology/volumes/2020.mwe-1/ (2020)
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SLICE: Supersense-based Lightweight Interpretable Contextual Embeddings
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In: The 28th International Conference on Computational Linguistics (COLING 2020) ; https://hal.archives-ouvertes.fr/hal-03017741 ; The 28th International Conference on Computational Linguistics (COLING 2020), Dec 2020, Barcelona (on line), Spain (2020)
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Multilingual enrichment of disease biomedical ontologies
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In: Proceedings of the LREC 2020 Workshop on Multilingual Biomedical Text Processing (MultilingualBIO 2020) ; https://hal.archives-ouvertes.fr/hal-02531140 ; Proceedings of the LREC 2020 Workshop on Multilingual Biomedical Text Processing (MultilingualBIO 2020), May 2020, Marseille, France. pp.21-28 ; European Language Resources Association (2020)
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Morpho-syntactically annotated corpora provided for the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)
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Annotated corpora and tools of the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)
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