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Found 6 papers, 2 papers with code
IITkgp at FinCausal 2020, Shared Task 1: Causality Detection using Sentence Embeddings in Financial Reports
The experiments have shown BERT (Large) performed the best, giving a F1 score of 0. 958, in the task of detecting the causality of sentences in financial texts and reports.
Causality Detection using Multiple Annotation Decisions
The paper describes the work that has been submitted to the 5th workshop on Challenges and Applications of Automated Extraction of socio-political events from text (CASE 2022).
Classification on Sentence Embeddings for Legal Assistance
Legal proceedings take plenty of time and also cost a lot.
Multilingual Hate Speech and Offensive Content Detection using Modified Cross-entropy Loss
Large language models are trained on a lot of data and they also make use of contextual embeddings.
IIT_kgp at FinCausal 2020, Shared Task 1: Causality Detection using Sentence Embeddings in Financial Reports
The experiments have shown BERT (Large) performed the best, giving a F1 score of 0. 958, in the task of detecting the causality of sentences in financial texts and reports.
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs
Chest radiographs are primarily employed for the screening of pulmonary and cardio-/thoracic conditions.
