Search Results for author:
Found 5 papers, 0 papers with code
Corporate Bankruptcy Prediction with BERT Model
This study performs BERT-based analysis, which is a representative contextualized language model, on corporate disclosure data to predict impending bankruptcies.
DEBATE: Devil's Advocate-Based Assessment and Text Evaluation
In this work, we propose DEBATE, an NLG evaluation framework based on multi-agent scoring system augmented with a concept of Devil's Advocate.
Corporate Bankruptcy Prediction with Domain-Adapted BERT
This study performs BERT-based analysis, which is a representative contextualized language model, on corporate disclosure data to predict impending bankruptcies.
Detecting Rumor Veracity with Only Textual Information by Double-Channel Structure
Our ultimate goal is to classify each rumor into true, false, or unverifiable category.
Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation
Source-free domain adaptation is an emerging line of work in deep learning research since it is closely related to the real-world environment.
