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Found 7 papers, 2 papers with code
Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification
Around the Arab world, different Arabic dialects are spoken by more than 300M persons, and are increasingly popular in social media texts.
BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification
Dialect and standard language identification are crucial tasks for many Arabic natural language processing applications.
ProMap: Effective Bilingual Lexicon Induction via Language Model Prompting
We also demonstrate the effectiveness of ProMap in re-ranking results from other BLI methods such as with aligned static word embeddings.
UM6P-CS at SemEval-2022 Task 11: Enhancing Multilingual and Code-Mixed Complex Named Entity Recognition via Pseudo Labels using Multilingual Transformer
This is due to the complexity and ambiguity of named entities that appear in various contexts such as short input sentences, emerging entities, and complex entities.
BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification
Dialect and standard language identification are crucial tasks for many Arabic natural language processing applications.
Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language
The prominence of figurative language devices, such as sarcasm and irony, poses serious challenges for Arabic Sentiment Analysis (SA).
Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding
In this paper, we propose a new unsupervised domain adaptation method for Arabic cross-domain and cross-dialect sentiment analysis from Contextualized Word Embedding.
