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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
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Blog Post number 1
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portfolio
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publications
Analysis of Fire Accident Factors on Construction Sites Using Web Crawling and Deep Learning Approach
Published in Sustainability, 2021
This study uses web crawling and deep learning to analyze patterns and causes of fire accidents on construction sites using news media data.
Recommended citation: Kim, J., Youm, S., Shan, Y., & Kim, J. (2021). "Analysis of Fire Accident Factors on Construction Sites Using Web Crawling and Deep Learning Approach." Sustainability, 13(21), 11694. https://www.mdpi.com/2071-1050/13/21/11694
Understanding coronavirus disease 2019 (COVID-19) vaccine hesitancy: Evidence from the community-driven knowledge site Quora
Published in Digital Health, 2022
This study examines COVID-19 vaccine hesitancy over time and analyzes public discourse on Quora using Word2Vec and sentiment analysis.
Recommended citation: Jang, S. H., Gerend, M. A., Youm, S., & Yi, Y. J. (2022). "Understanding coronavirus disease 2019 (COVID-19) vaccine hesitancy: Evidence from the community-driven knowledge site Quora." Digital Health, 8. https://journals.sagepub.com/doi/full/10.1177/20552076221145426
Anti-Asian discourse in Quora: Comparison of before and during the COVID-19 pandemic with machine-and deep-learning approaches
Published in Race and Justice, 2023
This study compares anti-Asian discourse before and during the COVID-19 pandemic using machine- and deep-learning approaches on Quora data.
Recommended citation: Jang, S. H., Youm, S., & Yi, Y. J. (2023). "Anti-Asian discourse in Quora: Comparison of before and during the COVID-19 pandemic with machine-and deep-learning approaches." Race and Justice, 13(1), 55–79. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863840/
Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer Architectures for Cross-Language Structural Priming
Published in Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024), 2024
This paper evaluates RNN and Transformer models for replicating cross-language structural priming in Chinese-English, showing Transformers outperform RNNs in producing primed sentence structures.
Recommended citation: Zhang, D., Xiao, B., Gao, C., Youm, S., & Dorr, B. (2024). Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer Architectures for Cross-Language Structural Priming. In Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024). https://aclanthology.org/2024.mrl-1.8/
DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection
Published in International Conference on Applications of Natural Language to Information Systems (NLDB), 2024
This paper proposes a hallucination-remediation technique for multilingual semantic role labeling (SRL) using linguistically-informed alignment and greedy projection strategies.
Recommended citation: Youm, S., Mather, B., Jayawaeera, C., Prada, J., & Dorr, B. (2024). DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection. In International Conference on Applications of Natural Language to Information Systems (NLDB). https://doi.org/10.1007/978-3-031-70239-6_29
Balancing Transparency and Accuracy: A Comparative Analysis of Rule-Based and Deep Learning Models in Political Bias Classification
Published in Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024), 2024
This study compares rule-based and deep learning systems for classifying political bias in news, examining their transparency, accuracy, and robustness to unseen data.
Recommended citation: Martinez, M., Schmer-Galunder, S., Liu, Z., Youm, S., Jayawaeera, C., & Dorr, B. (2024). Balancing Transparency and Accuracy: A Comparative Analysis of Rule-Based and Deep Learning Models in Political Bias Classification. In SICon 2024, pp. 102–115. https://aclanthology.org/2024.sicon-1.7/
DETQUS: Decomposition-Enhanced Transformers for QUery-focused Summarization
Published in Proceedings of the 2025 Conference of the NAACL: Human Language Technologies (Volume 1: Long Papers), 2025
DETQUS introduces a decomposition-based transformer system that improves query-focused table-to-text summarization through column pruning and ROUGE-L gains.
Recommended citation: Khan, Y., Wu, X., Youm, S., Ho, J., Shaikh, A., Garciga, J., Sharma, R., & Dorr, B. (2025). DETQUS: Decomposition-Enhanced Transformers for QUery-focused Summarization. In Proceedings of the NAACL 2025: Human Language Technologies, Vol. 1. https://aclanthology.org/2025.naacl-long.138/
That Ain’t Right: Assessing LLM Performance on QA in African American and West African English Dialects
Published in Proceedings of the 9th Widening NLP Workshop, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
This study tests multiple LLMs on equivalent QA prompts across English dialects and finds a significant performance drop for one dialect.
Recommended citation: Coggins, W., Jasmine McKenzie, Sangpil Youm, Pradham Mummaleti, Juan Gilbert, Eric Ragan, and Bonnie Dorr. That Ain’t Right: Assessing LLM Performance on QA in African American and West African English Dialects, Proceedings of the 9th Widening NLP Workshop, Conference on Empirical Methods in Natural Language Processing (EMNLP), Suzhou, China, pp. 123–129, 2025. https://aclanthology.org/2025.winlp-main.21/
I Still Need Your Help: Online Information Seeking Behavior Among International Students on Reddit
Published in Public Library of Science One, PLOS One, 2026
This study analyzes international students’ online information-seeking behavior on the f1visa subreddit before and during COVID-19, showing how the pandemic shifted discussions from employment to shared crisis-related concerns and reshaped online social capital through both informational and emotional support.
Recommended citation: Youm, S., Chaeeun Han, Hojeong Yoo, Sou Hyun Jang, Bonnie Dorr. I Still Need Your Help: Online Information Seeking Behavior Among International Students on Reddit, Public Library of Science One, PLOS One https://philz0918.github.io/
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Natural Language Processing
Graduate course, Instructor, University of Florida, Department Computer and Information Science and Engineering, 2024
This course covers concepts in natural language processing ranging from shallow bag-of words to richer representations and formalisms, for applications such as translation, generation, extraction, summarization, and dialogue. Classic and state-of-the-art techniques and remaining challenges are discussed, as well as recent proposals for meeting those challenges (both symbolic and machine learning approaches). Intended for graduate students doing research related to natural language processing.