Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling

12 January 2021

Papers citing "Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling"

4 / 4 papers shown

Title
UM6P-CS at SemEval-2022 Task 11: Enhancing Multilingual and Code-Mixed Complex Named Entity Recognition via Pseudo Labels using Multilingual Transformer Abdellah El Mekki Abdelkader El Mahdaouy Mohammed Akallouch Ismail Berrada A. Khoumsi 11 2 0 28 Apr 2022
Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects Go Inoue Salam Khalifa Nizar Habash 38 25 0 13 Oct 2021
ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic Muhammad Abdul-Mageed AbdelRahim Elmadany El Moatez Billah Nagoudi VLM 62 449 0 27 Dec 2020
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 317 31,297 0 16 Jan 2013