SemEval-2023 task 12: sentiment analysis for african languages (AfriSenti-SemEval)
We present the first Africentric SemEval Shared task, Sentiment Analysis for African
Languages (AfriSenti-SemEval)-The dataset is available at https://github. com/afrisenti …
Languages (AfriSenti-SemEval)-The dataset is available at https://github. com/afrisenti …
Multilingual large language model: A survey of resources, taxonomy and frontiers
Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …
Models to handle and respond to queries in multiple languages, which achieves remarkable …
Aya dataset: An open-access collection for multilingual instruction tuning
S Singh, F Vargus, D Dsouza, BF Karlsson… - arXiv preprint arXiv …, 2024 - arxiv.org
Datasets are foundational to many breakthroughs in modern artificial intelligence. Many
recent achievements in the space of natural language processing (NLP) can be attributed to …
recent achievements in the space of natural language processing (NLP) can be attributed to …
MaChAmp at SemEval-2023 tasks 2, 3, 4, 5, 7, 8, 9, 10, 11, and 12: On the Effectiveness of Intermediate Training on an Uncurated Collection of Datasets.
R Van Der Goot - Proceedings of the 17th International Workshop …, 2023 - aclanthology.org
To improve the ability of language models to handle Natural Language Processing (NLP)
tasks and intermediate step of pre-training has recently beenintroduced. In this setup, one …
tasks and intermediate step of pre-training has recently beenintroduced. In this setup, one …
Zero-and few-shot prompting with llms: A comparative study with fine-tuned models for bangla sentiment analysis
The rapid expansion of the digital world has propelled sentiment analysis into a critical tool
across diverse sectors such as marketing, politics, customer service, and healthcare. While …
across diverse sectors such as marketing, politics, customer service, and healthcare. While …
Nlnde at semeval-2023 task 12: Adaptive pretraining and source language selection for low-resource multilingual sentiment analysis
This paper describes our system developed for the SemEval-2023 Task 12" Sentiment
Analysis for Low-resource African Languages using Twitter Dataset". Sentiment analysis is …
Analysis for Low-resource African Languages using Twitter Dataset". Sentiment analysis is …
The skipped beat: A study of sociopragmatic understanding in llms for 64 languages
Instruction tuned large language models (LLMs), such as ChatGPT, demonstrate remarkable
performance in a wide range of tasks. Despite numerous recent studies that examine the …
performance in a wide range of tasks. Despite numerous recent studies that examine the …
UMUTeam at SemEval-2023 task 12: Ensemble learning of LLMs applied to sentiment analysis for low-resource African languages
JA García-Díaz, C Caparros-Laiz… - Proceedings of the …, 2023 - aclanthology.org
These working notes summarize the participation of the UMUTeam in the SemEval 2023
shared task: AfriSenti, focused on Sentiment Analysis in several African languages. Two …
shared task: AfriSenti, focused on Sentiment Analysis in several African languages. Two …
“I Searched for a Religious Song in Amharic and Got Sexual Content Instead'': Investigating Online Harm in Low-Resourced Languages on YouTube.
Online social media platforms such as YouTube have a wide, global reach. However, little is
known about the experience of low-resourced language speakers on such platforms; …
known about the experience of low-resourced language speakers on such platforms; …
Rehearsal-Free Modular and Compositional Continual Learning for Language Models
Continual learning aims at incrementally acquiring new knowledge while not forgetting
existing knowledge. To overcome catastrophic forgetting, methods are either rehearsal …
existing knowledge. To overcome catastrophic forgetting, methods are either rehearsal …