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Automatic enjambment detection as a new source of evidence in Spanish versification
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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)
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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
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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)
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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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Text Zoning of Theater Reviews: How Different are Journalistic from Blogger Reviews?
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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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Glossary: Introduction to the Digital Humanities ; Glossaire : Introduction aux humanités numériques
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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
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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)
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Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios
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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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Abstract:
International audience ; Multi-view learning makes use of diverse models arising from multiple sources of input or different feature subsets for the same task. For example, a given natural language processing task can combine evidence from models arising from character, morpheme, lexical, or phrasal views. The most common strategy with multi-view learning, especially popular in the neural network community, is to unify multiple representations into one unified vector through concatenation, averaging, or pooling , and then build a single-view model on top of the unified representation. As an alternative, we examine whether building one model per view and then unifying the different models can lead to improvements, especially in low-resource scenarios. More specifically, taking inspiration from co-training methods, we propose a semi-supervised learning approach based on multi-view models through consensus promotion, and investigate whether this improves overall performance. To test the multi-view hypothesis, we use moderately low-resource scenarios for nine languages and test the performance of the joint model for part-of-speech tagging and dependency parsing. The proposed model shows significant improvements across the test cases, with average gains of −0.9 ∼ +9.3 labeled attachment score (LAS) points. We also investigate the effect of unlabeled data on the proposed model by varying the amount of training data and by using different domains of unlabeled data.
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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
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URL: https://hal.archives-ouvertes.fr/hal-02895835
https://hal.archives-ouvertes.fr/hal-02895835/document
https://hal.archives-ouvertes.fr/hal-02895835/file/Cometa_AAAI20.pdf
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An information extraction framework to enrich archeological databases ; Une chaîne d’extraction pour l’enrichissement de bases de données archéologiques
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In: Humanistica ; https://hal.archives-ouvertes.fr/hal-02864534 ; Humanistica, http://www.humanisti.ca/revue/, A paraître, 2, ⟨10.4000/revuehn.471⟩ (2020)
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| 10 |
OuPoCo, the Combinatorial Poetry Workbench ; : L’ouvroir de poésie combinatoire
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In: Colloque Digital Humanities 2020 (DH2020) ; https://hal.archives-ouvertes.fr/hal-02977154 ; Colloque Digital Humanities 2020 (DH2020), Jul 2020, Montréal, Canada (2020)
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| 11 |
It’s complicated! ; It’s complicated!: On Natural Language Processing Tools and Digital Humanities
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In: “Tool Criticism 3.0” Workshop ; https://hal.archives-ouvertes.fr/hal-03084644 ; “Tool Criticism 3.0” Workshop, Jul 2020, Online (due to COVID, initially planned in Ottawa), Canada (2020)
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| 12 |
Sonnet Combinatorics with OuPoCo
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In: 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature ; https://hal.archives-ouvertes.fr/hal-03084603 ; 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, ACL-SIGHUM, Dec 2020, Barcelona, Spain ; https://www.aclweb.org/anthology/volumes/2020.latechclfl-1/ (2020)
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| 13 |
Digital Humanities and Natural Language Processing: “Je t’aime. Moi non plus”
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In: ISSN: 1938-4122 ; Digital Humanities Quarterly ; https://hal.archives-ouvertes.fr/hal-02970302 ; Digital Humanities Quarterly, Alliance of Digital Humanities, 2020, 14 (2) ; http://www.digitalhumanities.org/dhq/vol/14/2/000454/000454.html (2020)
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| 14 |
Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity
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In: 11th International Conference on Computational Creativity (ICCC’20) ; https://hal.archives-ouvertes.fr/hal-02977153 ; 11th International Conference on Computational Creativity (ICCC’20), Sep 2020, Coimbra, Portugal ; http://computationalcreativity.net/iccc20/ (2020)
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| 15 |
Semantic Flexibility and Grounded Language Learning
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In: Proceedings AISB 2019 ; 2019 AISB Convention : Workshop on Language Learning for Artificial Agents ; https://hal.archives-ouvertes.fr/hal-02268932 ; 2019 AISB Convention : Workshop on Language Learning for Artificial Agents, Apr 2019, Falmouth, United Kingdom (2019)
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Babel 2.0. Où va la traduction automatique ?
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In: https://hal.archives-ouvertes.fr/hal-02265228 ; Odile Jacob, 2019, 9782738148490 ; https://www.odilejacob.fr/catalogue/sciences-humaines/linguistique-psycholinguistique/babel-20_9782738148490.php (2019)
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| 17 |
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
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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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| 18 |
Mapping the Bentham Corpus: Concept-based Navigation
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-01915730 ; Journal of Data Mining and Digital Humanities, Episciences.org, 2019, Special Issue: Digital Humanities between knowledge and know-how (Atelier Digit_Hum) (2019)
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| 19 |
Modelling the Semantic Change Dynamics using Diachronic Word Embedding
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In: 11th International Conference on Agents and Artificial Intelligence (NLPinAI Special Session) ; https://hal.archives-ouvertes.fr/hal-02048377 ; 11th International Conference on Agents and Artificial Intelligence (NLPinAI Special Session), Feb 2019, Prague, Czech Republic (2019)
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A Predictive Approach to Semantic Change Modelling
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In: Digital Humanities ; https://hal.archives-ouvertes.fr/hal-02265227 ; Digital Humanities, Jul 2019, Utrecht, Netherlands (2019)
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