Papers by Yong-Yeol Ahn
SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment (P18-1)
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| Challenge: | SemAxis characterizes word semantics using many semantic axes in word-vector spaces beyond sentiment . lexicon-based text analysis assumes that meaning of words does not change across contexts . but, recent advances in vector-space representations can tackle this challenge . |
| Approach: | They propose a framework to characterize word semantics using many semantic axes beyond sentiment . they demonstrate that SemAxis can capture nuanced semantic representations in multiple online communities . |
| Outcome: | The proposed framework outperforms state-of-the-art approaches in building domain-specific sentiment lexicons. |
Cognitive Linguistic Identity Fusion Score (CLIFS): A Scalable Cognition‐Informed Approach to Quantifying Identity Fusion from Text (2025.emnlp-main)
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| Challenge: | Existing methods for measuring identity fusion are limited and require controlled surveys or direct field contact. |
| Approach: | They propose a new metric that integrates cognitive linguistics with large language models to measure identity fusion. |
| Outcome: | The proposed metric outperforms existing methods and human annotations in violence risk assessment. |
Predicting Anti-Asian Hateful Users on Twitter during COVID-19 (2021.findings-emnlp)
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| Challenge: | Xenophobia and polarization have accompanied widespread social media usage in many nations, attracting many researchers. |
| Approach: | They apply natural language processing techniques to characterize Twitter users who began to post anti-Asian hate messages during COVID-19. |
| Outcome: | The results show that it is possible to predict who later posted anti-Asian slurs on Twitter and Reddit. |