TigCLaF: a cross-lingual large language model framework for sentiment-aware text classification in low-resource tigrigna

TIGSEN: Building a Low-Resource Dataset and Benchmarking for Tigrigna Sentiment Analysis with Cross-Lingual Transfer Learning Approaches

A Transformer-Based Language Model for Sentiment Classification and Cross-Linguistic Generalization: Empowering Low-Resource African Languages

A multi-task learning framework for sentiment analysis and news classification for low-resource language

Despite the growing progress in Natural Language Processing (NLP), low-resource languages such as Ha

Cross-Lingual and Low-Resource Sentiment Analysis

Identifying sentiment in a low-resource language is essential for understanding opinions internation

Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages

Large language models (LLMs) have shown impressive zero-shot capabilities in various document rerank

Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages

Large pre-trained language models (PLMs) are at the forefront of advances in Natural Language Proces