Papers by Frank Xing
Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets (2020.coling-main)
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| Challenge: | Recent dominance of machine learning-based natural language processing methods has overemphasized model accuracies rather than studying the reasons behind their errors. |
| Approach: | They investigate the error patterns of some widely acknowledged sentiment analysis methods in the finance domain. |
| Outcome: | The proposed models are based on the existing models and have important clues for improving them. |
SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis (2022.lrec-1)
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| Challenge: | Despite recent advances, AI still struggles with complex tasks that require commonsense reasoning such as natural language understanding. |
| Approach: | They propose a commonsense-based framework that aims to overcome these limitations in the context of sentiment analysis. |
| Outcome: | The proposed framework overcomes these limitations in the context of sentiment analysis. |