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Found 7 papers, 3 papers with code
SemEval-2022 Task 3: PreTENS-Evaluating Neural Networks on Presuppositional Semantic Knowledge
We report the results of the SemEval 2022 Task 3, PreTENS, on evaluation the acceptability of simple sentences containing constructions whose two arguments are presupposed to be or not to be in an ordered taxonomic relation.
BLP-2023 Task 2: Sentiment Analysis
Additionally, we provide a brief overview of the systems submitted by the participants.
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.
Z-Index at CheckThat! Lab 2022: Check-Worthiness Identification on Tweet Text
In further experiments, our evaluation shows that transformer models (BERT-m and XLM-RoBERTa-base) outperform the SVM and RF in Dutch and English languages where a different scenario is observed for Spanish.
Simulating Using Deep Learning The World Trade Forecasting of Export-Import Exchange Rate Convergence Factor During COVID-19
Time series analysis can be useful to see how a given asset, security, or economy changes over time.
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
This is the first dataset of its kind: social media images, disaster response, and multi-task learning research.
Sentiment Classification in Bangla Textual Content: A Comparative Study
In this study, we explore several publicly available sentiment labeled datasets and designed classifiers using both classical and deep learning algorithms.
