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Probing for the Usage of Grammatical Number ...
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Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic Task ...
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Automatic enjambment detection as a new source of evidence in Spanish versification
In: Plotting Poetry: On Mechanically Enhanced Reading ; https://hal.archives-ouvertes.fr/hal-03255481 ; Bories, Anne-Sophie; Purnelle, Gérald; Marchal, Hugues. Plotting Poetry: On Mechanically Enhanced Reading, Presses Universitaires de Liège, 2021, 978-2-87562-280-8 ; http://www.presses.uliege.be/ (2021)
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The Corpus for Idiolectal Research (CIDRE)
In: European Association of Digital Humanities Conference (EADH 2021) ; https://hal.archives-ouvertes.fr/hal-03353520 ; European Association of Digital Humanities Conference (EADH 2021), Sep 2021, Krasnoyarsk, Russia (2021)
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Evaluating Hierarchical Clustering Methods for Corpora with Chronological Order
In: EADH2021: Interdisciplinary Perspectives on Data. Second International Conference of the European Association for Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03341803 ; EADH2021: Interdisciplinary Perspectives on Data. Second International Conference of the European Association for Digital Humanities, EADH, Sep 2021, Krasnoyarsk, Russia ; https://eadh2020-2021.org/ (2021)
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The Corpus for Idiolectal Research (CIDRE)
In: EISSN: 2059-481X ; Journal of Open Humanities Data ; https://hal.archives-ouvertes.fr/hal-03310451 ; Journal of Open Humanities Data, Ubiquity Press, 2021, 7, pp.15. ⟨10.5334/johd.42⟩ (2021)
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7
Text Zoning of Theater Reviews: How Different are Journalistic from Blogger Reviews?
In: Workshop on Natural Language Processing for Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03498270 ; Workshop on Natural Language Processing for Digital Humanities, Dec 2021, Sichar, India ; https://rootroo.com/downloads/nlp4dh_proceedings_draft.pdf (2021)
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Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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The Corpus for Idiolectal Research (CIDRE)
In: Journal of Open Humanities Data; Vol 7 (2021); 15 ; 2059-481X (2021)
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oseminck/cidre: Cidre ...
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oseminck/cidre: Cidre ...
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ACCOLÉ : Annotation Collaborative d'erreurs de traduction pour COrpus aLignÉs – Nouvelles fonctionnalités
In: Actes des 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT). ; 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT) ; https://hal.archives-ouvertes.fr/hal-03047150 ; 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT), 2020, Montrouge, France. pp.1-8 (2020)
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Glossary: Introduction to the Digital Humanities ; Glossaire : Introduction aux humanités numériques
In: https://hal.archives-ouvertes.fr/hal-02410396 ; 2020 (2020)
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Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity
In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02975786 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2020, 46 (4), pp.847-897 ; https://direct.mit.edu/coli/article/46/4/847/97326/Multi-SimLex-A-Large-Scale-Evaluation-of (2020)
Abstract: Données et informations liées à la publication : https://multisimlex.com/ ; International audience ; We introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering datasets for 12 typologically diverse languages, including major languages (e.g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e.g., Welsh, Kiswahili). Each language dataset is annotated for the lexical relation of semantic similarity and contains 1,888 semantically aligned concept pairs, providing a representative coverage of word classes (nouns, verbs, adjectives, adverbs), frequency ranks, similarity intervals, lexical fields, and concreteness levels. Additionally, owing to the alignment of concepts across languages, we provide a suite of 66 cross-lingual semantic similarity datasets. Due to its extensive size and language coverage, Multi-SimLex provides entirely novel opportunities for experimental evaluation and analysis. On its monolingual and cross-lingual benchmarks, we evaluate and analyze a wide array of recent state-of-the-art monolingual and cross-lingual representation models, including static and contextualized word embeddings (such as fastText, M-BERT and XLM), externally informed lexical representations, as well as fully unsupervised and (weakly) supervised cross-lingual word embeddings. We also present a step-by-step dataset creation protocol for creating consistent, Multi-Simlex-style resources for additional languages. We make these contributions -- the public release of Multi-SimLex datasets, their creation protocol, strong baseline results, and in-depth analyses which can be be helpful in guiding future developments in multilingual lexical semantics and representation learning -- available via a website which will encourage community effort in further expansion of Multi-Simlex to many more languages. Such a large-scale semantic resource could inspire significant further advances in NLP across languages.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; [SHS.INFO]Humanities and Social Sciences/Library and information sciences; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS.STAT]Humanities and Social Sciences/Methods and statistics; Lexicon; Linguistic Resource; Multilinguality; Semantics; Typology
URL: https://hal.archives-ouvertes.fr/hal-02975786/file/coli_a_00391.pdf
https://hal.archives-ouvertes.fr/hal-02975786
https://hal.archives-ouvertes.fr/hal-02975786/document
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17
Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios
In: Conference of the Association for the Advancement of Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-02895835 ; Conference of the Association for the Advancement of Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Feb 2020, New York, United States ; https://aaai.org/Conferences/AAAI-20/ (2020)
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Lexical encoding of multiword expressions in XMG
In: Actes des 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT). ; 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT) ; https://hal.archives-ouvertes.fr/hal-03047145 ; 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT), Dec 2020, Montrouge, France. pp.60-63 (2020)
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Classification des catégories grammaticales sur deux corpus longitudinaux d’enfants
In: Actes des 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT). ; 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT) ; https://hal.archives-ouvertes.fr/hal-03047149 ; 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT), 2020, Montrouge, France. pp.23-33 (2020)
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Longform recordings : Opportunities and challenges ; Enregistrements de longue durée: Opportunités et défis
In: Actes des 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT). ; LIFT 2020 - 2èmes journées scientifiques du Groupement de Recherche "Linguistique informatique, formelle et de terrain" ; https://hal.archives-ouvertes.fr/hal-03047153 ; LIFT 2020 - 2èmes journées scientifiques du Groupement de Recherche "Linguistique informatique, formelle et de terrain", Dec 2020, Montrouge / Virtual, France. pp.64-71 (2020)
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