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RETRIEVING SPEAKER INFORMATION FROM PERSONALIZED ACOUSTIC MODELS FOR SPEECH RECOGNITION
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In: IEEE ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03539741 ; IEEE ICASSP 2022, 2022, Singapour, Singapore (2022)
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From FreEM to D'AlemBERT ; From FreEM to D'AlemBERT: a Large Corpus and a Language Model for Early Modern French
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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)
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Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues
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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)
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| 4 |
Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost
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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)
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| 5 |
Imputing out-of-vocabulary embeddings with LOVE makes language models robust with little cost
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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)
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| 6 |
Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ...
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| 7 |
On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages ...
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Chen, Fuxiang. - : Federated Research Data Repository / dépôt fédéré de données de recherche, 2022
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| 8 |
Sentence Level Embedding Detoxification via Toxic Component Removal ...
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: University of Virginia, 2022
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Abstract:
When state of the art pre-trained language models are trained on internet discourse, they may unintentionally encode and perpetuate some of the hateful and toxic behavior known to exist within the training data. We hypothesize that the encoding of toxicity can be explained by a "toxic subspace" within sentence-level language model embeddings, the existence of which suggests that toxic features follow some underlying pattern and are thus removable. To identify this toxic subspace, we propose a method to find patterns in toxic lexical markers. Through our experiments, we demonstrate that the subspace we find can separate toxic and non-toxic examples in the latent space. We use this subspace to extract a toxic component within sentence embeddings, and demonstrate that the removal of this component causes the number of toxic representations to decrease. These results are promising and suggest that encoders can be reasonably detoxified. ...
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Keyword:
Language Models; NLP for Social Good; Representation Learning
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URL: https://dx.doi.org/10.18130/5pch-v272
https://libraetd.lib.virginia.edu/public_view/k06988420
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| 9 |
MIss RoBERTa WiLDe: Metaphor Identification Using Masked Language Model with Wiktionary Lexical Definitions
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In: Applied Sciences; Volume 12; Issue 4; Pages: 2081 (2022)
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| 10 |
Considering Commonsense in Solving QA: Reading Comprehension with Semantic Search and Continual Learning
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4099 (2022)
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| 11 |
Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models
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In: Applied Sciences; Volume 12; Issue 1; Pages: 491 (2022)
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| 12 |
Commonsense Knowledge-Aware Prompt Tuning for Few-Shot NOTA Relation Classification
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In: Applied Sciences; Volume 12; Issue 4; Pages: 2185 (2022)
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| 13 |
Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages
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In: Future Internet; Volume 14; Issue 3; Pages: 69 (2022)
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| 14 |
Correcting Diacritics and Typos with a ByT5 Transformer Model
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In: Applied Sciences; Volume 12; Issue 5; Pages: 2636 (2022)
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| 15 |
Language Competition and Language Shift in Friuli-Venezia Giulia: Projection and Trajectory for the Number of Friulian Speakers to 2050
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In: Sustainability; Volume 14; Issue 6; Pages: 3319 (2022)
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| 16 |
An Information Theoretic Approach to Symbolic Learning in Synthetic Languages
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In: Entropy; Volume 24; Issue 2; Pages: 259 (2022)
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| 17 |
Comparison of Text Mining Models for Food and Dietary Constituent Named-Entity Recognition
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In: Machine Learning and Knowledge Extraction; Volume 4; Issue 1; Pages: 254-275 (2022)
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| 19 |
Language and vision in conceptual processing: Multilevel analysis and statistical power ...
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| 20 |
Exploring the Representations of Individual Entities in the Brain Combining EEG and Distributional Semantics.
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