Keywords for Bias
arXiv:2211.00075v21 citationsh-index: 7
Originality Synthesis-oriented
AI Analysis
This work addresses bias analysis in NLP, but it appears incremental as it focuses on improving keyword detection without introducing a major breakthrough.
The paper tackles the problem of detecting keywords for bias analysis by proposing a new NLP approach, which achieves comparable results to state-of-the-art methods on various benchmark datasets.
This work proposes to analyse some keywords for bias analysis. For this, we are using several NLP approaches and compare them based on their capability of detecting keywords to analyse bias. The overall findings show that our proposed approach gives comparable results with the state-of-the-art approaches on different benchmark datasets.