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Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues
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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Automatic Error Type Annotation for Arabic ...
Abstract: We present ARETA, an automatic error type annotation system for Modern Standard Arabic. We design ARETA to address Arabic’s morphological richness and orthographic ambiguity. We base our error taxonomy on the Arabic Learner Corpus (ALC) Error Tagset with some modifications. ARETA achieves a performance of 85.8% (micro average F1 score) on a manually annotated blind test portion of ALC. We also demonstrate ARETA’s usability by applying it to a number of submissions from the QALB 2014 shared task for Arabic grammatical error correction. The resulting analyses give helpful insights on the strengths and weaknesses of different submissions, which is more useful than the opaque M2 scoring metrics used in the shared task. ARETA employs a large Arabic morphological analyzer but is completely unsupervised otherwise. We make ARETA publicly available. ...
Keyword: Computational Linguistics; Information Extraction; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://dx.doi.org/10.48448/1s26-nw85
https://underline.io/lecture/39891-automatic-error-type-annotation-for-arabic
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3
Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
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HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
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Detecting Gender Bias using Explainability ...
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HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
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Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ...
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Contrastive Code Representation Learning ...
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Unsupervised Multi-View Post-OCR Error Correction With Language Models ...
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10
AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ...
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Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning ...
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Towards the Early Detection of Child Predators in Chat Rooms: A BERT-based Approach ...
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Semantic Categorization of Social Knowledge for Commonsense Question Answering ...
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14
Pre-train or Annotate? Domain Adaptation with a Constrained Budget ...
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15
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ...
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CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ...
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17
Automatic Text Evaluation through the Lens of Wasserstein Barycenters ...
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Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa ...
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19
Meta Distant Transfer Learning for Pre-trained Language Models ...
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How to Train BERT with an Academic Budget ...
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