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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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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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Guillaume, Bruno; Ramisch, Carlos; Waszczuk, Jakub; Monti, Johanna; Di Buono, Maria Pia; Sangati, Federico; Speranza, Giulia; Carlino, Carola; Güngör, Tunga; Yirmibeşoğlu, Zeynep; Sak, Haşim; Saraçlar, Murat; Giouli, Voula; Foufi, Vassiliki; Ramisch, Renata; Rademaker, Alexandre; Vale, Oto; Wilkens, Rodrigo; Candito, Marie; Crabbé, Benoît; Segonne, Vincent; Liebeskind, Chaya; Stymne, Sara; Hajič, Jan; Ginter, Filip; Luotolahti, Juhani; Straka, Milan; Zeman, Daniel; Barbu Mititelu, Verginica; Cristescu, Mihaela; Vaidya, Ashwini; Bhatia, Archna; Lichte, Timm; Ehren, Rafael; Jiang, Menghan; Xu, Hongzhi; Walsh, Abigail; Irimia, Elena; Dowling, Meghan. - : PARSEME, 2020
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Abstract:
This multilingual resource contains corpora for 14 languages, gathered at the occasion of the 1.2 edition of the PARSEME Shared Task on semi-supervised Identification of Verbal MWEs (2020). These corpora were meant to serve as additional "raw" corpora, to help discovering unseen verbal MWEs. The corpora are provided in CONLL-U (https://universaldependencies.org/format.html) format. They contain morphosyntactic annotations (parts of speech, lemmas, morphological features, and syntactic dependencies). Depending on the language, the information comes from treebanks (mostly Universal Dependencies v2.x) or from automatic parsers trained on UD v2.x treebanks (e.g., UDPipe). VMWEs include idioms (let the cat out of the bag), light-verb constructions (make a decision), verb-particle constructions (give up), inherently reflexive verbs (help oneself), and multi-verb constructions (make do). For the 1.2 shared task edition, the data covers 14 languages, for which VMWEs were annotated according to the universal guidelines. The corpora are provided in the cupt format, inspired by the CONLL-U format. Morphological and syntactic information – not necessarily using UD tagsets – including parts of speech, lemmas, morphological features and/or syntactic dependencies are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe). This item contains training, development and test data, as well as the evaluation tools used in the PARSEME Shared Task 1.2 (2020). The annotation guidelines are available online: http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.2
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Keyword:
dependency trees; morphological analysis; morphosyntactic annotation
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URL: http://hdl.handle.net/11234/1-3416
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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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