A literature review of literature reviews in pattern analysis and machine intelligence

P Zhao, X Zhang, J Cao, MM Cheng, J Yang… - ar** monolingual large Pre-trained Language Models (PLMs) is shown to be very
successful in handling different tasks in Natural Language Processing (NLP). In this work …

Improving pseudo labels with global-local denoising framework for cross-lingual named entity recognition

Z Ding, W Wei, X Qu, D Chen - arxiv preprint arxiv:2406.01213, 2024 - arxiv.org
Cross-lingual named entity recognition (NER) aims to train an NER model for the target
language leveraging only labeled source language data and unlabeled target language …

Preserving privacy in Arabic judgments: Ai-powered anonymization for enhanced legal data privacy

T El Moussaoui, L Chakir, J Boumhidi - IEEE Access, 2023 - ieeexplore.ieee.org
Jurisprudence involves studying, interpreting, and applying the law to comprehend its
societal impact. Judges annually review cases to ensure accurate law application, which …

ArEntail: manually-curated Arabic natural language inference dataset from news headlines

R Obeidat, Y Al-Harahsheh, M Al-Ayyoub… - Language Resources …, 2024 - Springer
Natural language inference (NLI), also known as textual entailment recognition (TER), is a
crucial task in natural language processing that combines many fundamental aspects of …

Alex-u 2023 nlp at wojoodner shared task: Arabinder (bi-encoder for arabic named entity recognition)

M Hussein, S Khaled, M Torki… - … of ArabicNLP 2023, 2023 - aclanthology.org
Abstract Named Entity Recognition (NER) is a crucial task in natural language processing
that facilitates the extraction of vital information from text. However, NER for Arabic presents …