EMNLP 2024, Miami, USA (from Left: Layla and Elham)
For the full list of publication, please see Google Scholar
Preprints
Bouzoubaa, L, Guo, M, Trybala, J, Razi, A., Rezapour, R. (2025). From #Dr00gtiktok to #harmreduction: Exploring Substance Use Hashtags on TikTok. arXive preprint arXiv:2501.16123.
Becker, M., Han, K., Rezapour, R., Diesner, J., Witt, A. (2025). Impact Classification within and beyond Academia: Domain-Robust Annotation and the Capacity of Large Language Models, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-5543205/v1]
Aghakhani, E., Wang, L., Washington, K. T., Demiris, G., Huh-Yoo, J., & Rezapour, R. (2025). From Conversation to Automation: Leveraging Large Language Models to Analyze Strategies in Problem Solving Therapy. arXiv preprint arXiv:2501.06101.
Roshanaei, M., Rezapour, R., & El-Nasr, M. S. (2024). Talk, Listen, Connect: Navigating Empathy in Human-AI Interactions. arXiv preprint arXiv:2409.15550.
Razi, A., Bouzoubaa, L., Pessianzadeh, A., Seberger, J. S., & Rezapour, R. (2024). Not a Swiss Army Knife: Academics' Perceptions of Trade-Offs Around Generative Artificial Intelligence Use. arXiv preprint arXiv:2405.00995.
Selected Publication
Bouzoubaa, L., Aghakhani, E., & Rezapour, R. (2024). Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 9139-9156).
Rezapour, R., Ge, Y., Han, K., Jeong, R., & Diesner, J. (2024). Two-Stage Graph-Augmented Summarization of Scientific Documents. In Proceedings of the 1st Workshop on NLP for Science (NLP4Science) at EMNLP (pp. 36-46).
Bouzoubaa ,L., Aghakhani, E., Song, M., Trinh, M., Rezapour, R. (2024). Decoding the Narratives: Analyzing Personal Drug Experiences Shared on Reddit. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL) Findings.
Bouzoubaa, L., & Rezapour, R. (2024). Euphoria’s Hidden Voices: Examining Emotional Resonance and Shared Substance Use Experience of Viewers on Reddit. In Proceedings of the Workshop on Data for the Wellbeing of Most Vulnerable at the 18th International AAAI Conference on Web and Social Media (ICWSM).
Becker, M, Han K, Werthmann, A, Rezapour, R, Lee, H, Diesner, J. Witts, A. (2024). Detecting Impact Relevant Sections in Scientific Research. In the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING).
Abdessamed, Y, Rezapour, R, Wilson, S. (2024), Extraction of narrative spans from podcast data. In the Proceedings of the 18th Annual Meeting of the European chapter of the Association for Computational Linguistics (EACL).
Bouzoubaa, L, Young, J, Rezapour, R. (2023). Exploring the Landscape of Drug Communities on Reddit: A Network Study. 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
Rezapour, R., Delgado Ramos, D., Jeoung, S., & Diesner, J. (2023). Moving Beyond Stance Detection in Cross-Cutting Communication Analysis. In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation (pp. 305-315). Cham: Springer Nature Switzerland.
Ehsani, R., Rezapour, R., & Chatterjee, P. (2023). Exploring Moral Principles Exhibited in OSS: A Case Study on GitHub Heated Issues. In the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), Ideas, Visions and Reflections Track.
Bouzoubaa, L., Ehsani, R., Chatterjee, P., & Rezapour, R. (2023). The Evolution of Substance Use Coverage in the Philadelphia Inquirer. In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM).
Han, K., Rezapour, R., Nakamura, K., Devkota, D., Miller, D. C., & Diesner, J. (2023). An expert‐in‐the‐loop method for domain‐specific document categorization based on small training data. Journal of the Association for Information Science and Technology, 74(6), 669-684.
Mishra, S., Rezapour, R., & Diesner, J. (2022). Information Extraction from Social Media: A Hands-On Tutorial on Tasks, Data, and Open Source Tools. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp. 5148-5151).
Rezapour, R., Reddy, S., Jones, R., & Soboroff, I. (2022). What Makes a Good Podcast Summary?. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2039-2046).
Rezapour, R., Dinh, L., & Diesner, J. (2021). Incorporating the measurement of moral foundations theory into analyzing stances on controversial topics. In Proceedings of the 32nd ACM conference on hypertext and social media (pp. 177-188).
Reddy, S., Yu, Y., Pappu, A., Sivaraman, A., Rezapour, R., & Jones, R. (2021). Detecting Extraneous Content in Podcasts. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (pp. 1166-1173).
Rezapour, R., Reddy, S., Clifton, A., & Jones, R. Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization. In TREC (the Text REtrieval Conference).
Jiang, L., Dinh, L., Rezapour, R., & Diesner, J. (2021). Which Group Do You Belong To? Sentiment-Based PageRank to Measure Formal and Informal Influence of Nodes in Networks. In Complex Networks & Their Applications IX: Volume 2, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020 (pp. 623-636). Springer International Publishing.
Clifton, A., Reddy, S., Yu, Y., Pappu, A., Rezapour, R., Bonab, H., ... & Jones, R. (2020). 100,000 podcasts: A spoken English document corpus. In Proceedings of the 28th International Conference on Computational Linguistics (pp. 5903-5917).
Aref, S., Dinh, L., Rezapour, R., & Diesner, J. (2020). Multilevel structural evaluation of signed directed social networks based on balance theory. Scientific reports, 10(1), 15228.
Dinh, L., Rezapour, R., Jiang, L., & Diesner, J. (2020). Structural balance in signed digraphs: considering transitivity to measure balance in graphs constructed by using different link signing methods. arXiv preprint arXiv:2006.02565.
Rezapour, R., Bopp, J., Fiedler, N., Steffen, D., Witt, A., & Diesner, J. (2020). Beyond citations: Corpus-based methods for detecting the impact of research outcomes on society. In Proceedings of the 12th language resources and evaluation conference (pp. 6777-6785).
Sarol, M. J., Dinh, L., Rezapour, R., Chin, C. L., Yang, P., & Diesner, J. (2020). An Empirical Methodology for Detecting and Prioritizing Needs during Crisis Events. In Findings of the Association for Computational Linguistics: EMNLP 2020 (pp. 4102-4107).
Rezapour, R., Ferronato, P., & Diesner, J. (2019). How do moral values differ in tweets on social movements?. In Conference companion publication of the 2019 on computer supported cooperative work and social computing (pp. 347-351).
Rezapour, R., Shah, S. H., & Diesner, J. (2019). Enhancing the measurement of social effects by capturing morality. In Proceedings of the tenth workshop on computational approaches to subjectivity, sentiment and social media analysis (pp. 35-45).