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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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A gentle introduction to Girard's Transcendental Syntax for the linear logician
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In: https://hal.archives-ouvertes.fr/hal-02977750 ; 2022 (2022)
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Learning and controlling the source-filter representation of speech with a variational autoencoder
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In: https://hal.archives-ouvertes.fr/hal-03650569 ; 2022 (2022)
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Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events.
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In: Nature communications, vol 13, iss 1 (2022)
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Changes in the midst of a construction network: a diachronic construction grammar approach to complex prepositions denoting internal location
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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)
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Changes in the midst of a construction network: a diachronic construction grammar approach to complex prepositions denoting internal location
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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)
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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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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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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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Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ...
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From bag-of-words towards natural language: adapting topic models to avoid stop word removal ...
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A Collection of Classroom Instruction ... : A Collection of Classroom Instruction ...
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Biodiversity: how big is our global biodiversity debt and what can we do about it? ...
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Bayesian data analysis in the phonetic sciences: A tutorial introduction ...
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How Cognitive Abilities May Support Children’s Bilingual Literacy Development in a Multilingual Society ...
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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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Multilingual Hate Speech Detection ...
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Abstract:
The constant expansion and creation of online social platforms attracts people of different nationalities, religions, sexual orientations, and social backgrounds. Society’s lack of respect for and understanding of those differences perpetuates negativity, general dissatisfaction, and eventually hate speech. Social media companies are using automated hate speech detection systems to limit the appearance of such abusive content. These systems, however, rely heavily on the volume and quality of data. Despite the fact that a large amount of public datasets for hate speech detection is available, they are limited to popular languages such as English, French, and Spanish, among others. In our approach, we aim at accurately identifying hateful content on unpopular languages with the help of pre-trained transformer models. Both monolingual and multilingual models are deployed, for this task. We mostly seek to learn whether training multilingual models in linguistically related languages can provide enhanced results ... : Η συνεχής επέκταση και δημιουργία διαδικτυακών πλατφορμών κοινωνικής δικτύωσης, προσελκύει άτομα διαφορετικών εθνικοτήτων, θρησκειών, σεξουαλικού προσανατολισμού και κοινωνικής θέσης. Η έλλειψη σεβασμού και κατανόησης αυτών των διαφορών από την κοινωνία, ενισχύουν την αρνητικότητα, τη γενική δυσαρέσκεια και τελικά τη ρητορική μίσους. Οι εταιρείες μέσων κοινωνικής δικτύωσης χρησιμοποιούν αυτοματοποιημένα συστήματα ανίχνευσης ρητορικής μίσους για τον περιορισμό της εμφάνισης τέτοιου υβριστικού περιεχομένου. Τα συστήματα αυτά, ωστόσο, βασίζονται σε μεγάλο βαθμό στον όγκο και την ποιότητα των δεδομένων με τα οποία εκπαιδεύονται. Παρά το γεγονός ότι διατίθεται μεγάλος αριθμός δημόσιων συνόλων δεδομένων για ανίχνευση ρητορικής μίσους, τα σύνολα αυτά περιορίζονται σε δημοφιλείς γλώσσες όπως αγγλικά, γαλλικά και ισπανικά, μεταξύ άλλων. Στην προσέγγισή μας, στοχεύουμε στον ακριβή εντοπισμό περιεχομένου μίσους σε μη διάσημες γλώσσες με τη βοήθεια προεκπαιδευμένων μοντέλων μετασχηματισμού (Transformer Models). Τόσο ...
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Keyword:
Hate; Models; Multilingual; Μίσος; Μοντέλα; Πολυγλωσσικά
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URL: https://ikee.lib.auth.gr/record/338409 https://dx.doi.org/10.26262/heal.auth.ir.338409
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