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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...154 Hits 1 – 20 of 3.061 1 RETRIEVING SPEAKER INFORMATION FROM PERSONALIZED ACOUSTIC MODELS FOR SPEECH RECOGNITION Mdhaffar, Salima; Bonastre, Jean-François; Tommasi, Marc... In: IEEE ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03539741 ; IEEE ICASSP 2022, 2022, Singapour, Singapore (2022) BASE Show details 2 From FreEM to D'AlemBERT ; From FreEM to D'AlemBERT: a Large Corpus and a Language Model for Early Modern French Gabay, Simon; Ortiz Suarez, Pedro; Bartz, Alexandre; Chagué, Alix; Bawden, Rachel; Gambette, Philippe; Sagot, Benoît In: Proceedings of the 13th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-03596653 ; Proceedings of the 13th Language Resources and Evaluation Conference, European Language Resources Association, Jun 2022, Marseille, France (2022) Abstract: 8 pages, 2 figures, 4 tables ; International audience ; Language models for historical states of language are becoming increasingly important to allow the optimal digitisation and analysis of old textual sources. Because these historical states are at the same time more complex to process and more scarce in the corpora available, specific efforts are necessary to train natural language processing (NLP) tools adapted to the data. In this paper, we present our efforts to develop NLP tools for Early Modern French (historical French from the 16th to the 18th centuries). We present the FreEMmax corpus of Early Modern French and D'AlemBERT, a RoBERTa-based language model trained on FreEMmax. We evaluate the usefulness of D'AlemBERT by fine-tuning it on a part-of-speech tagging task, outperforming previous work on the test set. Importantly, we find evidence for the transfer learning capacity of the language model, since its performance on lesser-resourced time periods appears to have been boosted by the more resourced ones. We release D'AlemBERT and the open-sourced subpart of the FreEMmax corpus. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Corpus creation; Création de corpus; Digital humanities; Early Modern French; Français classique; Humanités Numériques; Language modelling; Langues peu dotées; Less-resourced languages; Modèle de langue neuronal; Modélisation linguistique; Neural language representation models; Partie du discours; POS tagging URL: https://hal.inria.fr/hal-03596653 BASE Hide details 3 Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events. Shahbaba, Babak; Li, Lingge; Agostinelli, Forest... In: Nature communications, vol 13, iss 1 (2022) BASE Show details 4 Changes in the midst of a construction network: a diachronic construction grammar approach to complex prepositions denoting internal location Desagulier, Guillaume In: ISSN: 0936-5907 ; EISSN: 1613-3641 ; Cognitive Linguistics ; https://halshs.archives-ouvertes.fr/halshs-03637056 ; Cognitive Linguistics, De Gruyter, 2022, ⟨10.1515/cog-2021-0128⟩ (2022) BASE Show details 5 Changes in the midst of a construction network: a diachronic construction grammar approach to complex prepositions denoting internal location Desagulier, Guillaume In: ISSN: 0936-5907 ; EISSN: 1613-3641 ; Cognitive Linguistics ; https://halshs.archives-ouvertes.fr/halshs-03637056 ; Cognitive Linguistics, De Gruyter, In press, ⟨10.1515/cog-2021-0128⟩ (2022) BASE Show details 6 Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues Yvon, François In: Techniques de l'Ingenieur ; https://hal.archives-ouvertes.fr/hal-03619077 ; Techniques de l'Ingenieur, Techniques de l'ingénieur, 2022, ⟨10.51257/a-v1-in195⟩ ; https://www.techniques-ingenieur.fr/base-documentaire/innovation-th10/innovations-en-electronique-et-tic-42257210/transformer-des-reseaux-de-neurones-pour-le-traitement-automatique-des-langues-in195/ (2022) BASE Show details 7 Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost Chen, Lihu; Varoquaux, Gaël; Suchanek, Fabian In: ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03613101 ; ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, May 2022, Dublin, Ireland (2022) BASE Show details 8 Imputing out-of-vocabulary embeddings with LOVE makes language models robust with little cost Chen, Lihu; Varoquaux, Gaël; Suchanek, Fabian In: ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03613101 ; ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, May 2022, Dublin, Ireland (2022) BASE Show details 9 Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ... Wei, Megan. - : Open Science Framework, 2022 BASE Show details 10 From bag-of-words towards natural language: adapting topic models to avoid stop word removal ... Max Schulze Dieckhoff. - : Universitätsbibliothek Eichstätt-Ingolstadt, 2022 BASE Show details 11 Biodiversity: how big is our global biodiversity debt and what can we do about it? ... Rijsdijk, Kenneth; Norder, Sietze. - : OpenGeoHub Foundation, 2022 BASE Show details 12 Bayesian data analysis in the phonetic sciences: A tutorial introduction ... Vasishth, Shravan. - : Open Science Framework, 2022 BASE Show details 13 How Cognitive Abilities May Support Children’s Bilingual Literacy Development in a Multilingual Society ... Vogelzang, Margreet; Tsimpli, IM; Panda, M. - : Apollo - University of Cambridge Repository, 2022 BASE Show details 14 Multilingual Hate Speech Detection ... Λαυρεντιάδου, Βασιλική Γεωργίου. - : Aristotle University of Thessaloniki, 2022 BASE Show details 15 MIss RoBERTa WiLDe: Metaphor Identification Using Masked Language Model with Wiktionary Lexical Definitions Mateusz Babieno; Masashi Takeshita; Dusan Radisavljevic; Rafal Rzepka; Kenji Araki In: Applied Sciences; Volume 12; Issue 4; Pages: 2081 (2022) BASE Show details 16 Considering Commonsense in Solving QA: Reading Comprehension with Semantic Search and Continual Learning Seungwon Jeong; Dongsuk Oh; Kinam Park; Heuiseok Lim In: Applied Sciences; Volume 12; Issue 9; Pages: 4099 (2022) BASE Show details 17 Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models Alexander Sboev; Sanna Sboeva; Ivan Moloshnikov; Artem Gryaznov; Roman Rybka; Alexander Naumov; Anton Selivanov; Gleb Rylkov; Vyacheslav Ilyin In: Applied Sciences; Volume 12; Issue 1; Pages: 491 (2022) BASE Show details 18 Commonsense Knowledge-Aware Prompt Tuning for Few-Shot NOTA Relation Classification Bo Lv; Li Jin; Yanan Zhang; Hao Wang; Xiaoyu Li; Zhi Guo In: Applied Sciences; Volume 12; Issue 4; Pages: 2185 (2022) BASE Show details 19 Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages Ivan S. Blekanov; Nikita Tarasov; Svetlana S. Bodrunova In: Future Internet; Volume 14; Issue 3; Pages: 69 (2022) BASE Show details 20 Correcting Diacritics and Typos with a ByT5 Transformer Model Lukas Stankevičius; Mantas Lukoševičius; Jurgita Kapočiūtė-Dzikienė; Monika Briedienė; Tomas Krilavičius In: Applied Sciences; Volume 12; Issue 5; Pages: 2636 (2022) BASE Show details Page: 1 2 3 4 5...154

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