publications

• Parsa Ghaffari, Chris Hokamp. 2025. “Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search” https://arxiv.org/abs/2504.02426
• Aaron Zolnai-Lucas, Jack Boylan, Chris Hokamp, Parsa Ghaffari. 2024. “STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs” https://arxiv.org/abs/2407.12860.
• Jack Boylan, Shashank Mangla, Dominic Thorn, Demian Gholipour Ghalandari, Parsa Ghaffari, and Chris Hokamp. 2024. “KGValidator: A Framework for Automatic Validation of Knowledge Graph Construction” https://arxiv.org/abs/2404.15923.
• Hokamp, Chris, Demian Gholipour Ghalandari, and Parsa Ghaffari. 2023. “News Signals: An NLP Library for Text and Time Series.” https://arxiv.org/abs/2312.11399.
• Ruder, Sebastian, John Glover, Afshin Mehrabani, and Parsa Ghaffari. 2018. “360 Stance Detection.” In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, edited by Yang Liu, Tim Paek, and Manasi Patwardhan, 31–35. New Orleans, Louisiana: Association for Computational Linguistics. https://doi.org/10.18653/v1/N18-5007.
• “Data Selection Strategies for Multi-Domain Sentiment Analysis.” https://arxiv.org/abs/1702.02426.
• Ruder, Sebastian, Parsa Ghaffari, and John G. Breslin. 2016a. “A Hierarchical Model of Reviews for Aspect-Based Sentiment Analysis.” https://arxiv.org/abs/1609.02745.
• “Towards a Continuous Modeling of Natural Language Domains.” https://arxiv.org/abs/1610.09158.
• “Knowledge Adaptation: Teaching to Adapt.” https://arxiv.org/abs/1702.02052.
• “INSIGHT-1 at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification and Quantification.” https://arxiv.org/abs/1609.02746.
• “INSIGHT-1 at SemEval-2016 Task 5: Deep Learning for Multilingual Aspect-Based Sentiment Analysis.” https://arxiv.org/abs/1609.02748.
• “Character-Level and Multi-Channel Convolutional Neural Networks for Large-Scale Authorship Attribution.” https://arxiv.org/abs/1609.06686.
• Barnaghi, Peiman, Parsa Ghaffari, and John Breslin. 2015. “Text Analysis and Sentiment Polarity on FIFA World Cup 2014 Tweets.” https://www.researchgate.net/publication/280715888_Text_Analysis_and_Sentiment_Polarity_on_FIFA_World_Cup_2014_Tweets
• Barnaghi, Peiman, Parsa Ghaffari, and John G. Breslin. 2016. “Opinion Mining and Sentiment Polarity on Twitter and Correlation Between Events and Sentiment.” In 2016 IEEE Second International Conference on Big Data Computing Service and Applications (BigDataService), 52–57. https://doi.org/10.1109/BigDataService.2016.36.