Story Understanding

What do we want to understand about a story? A story is a multi-layer artifact, which lends itself to a hierarchical analysis, as shown below.

In this research area, I aim to build AI algorithms that understand different aspects and layers of stories individually and in combination.

Publications

• Hannah Kim, Denys Katerenchuk, Daniel Billet, Haesun Park, and Boyang Li. Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters. arXiv 1804.04164. 2018.
• Pelin Dogan, Boyang Li, Leonid Sigal, Markus Gross. A Neural Multi-sequence Alignment TeCHnique (NeuMATCH). The Conference on Computer Vision and Pattern Recognition (CVPR). 2018.
• Boyang Li, Beth Cardier, Tong Wang and Florian Metze. Annotating High-Level Structures of Short Stories and Personal Anecdotes. The 11th Language Resources and Evaluation Conference (LREC). 2018. [Data] [Talk][Annotation Guidelines]
• Ng Annalyn, Maarten Bos, Leonid Sigal, Boyang Li. Predicting Personality from Book Preferences with User-Generated Content Labels. IEEE Transaction on Affective Computing. 2018.
• Tong Wang, Ping Chen, and Boyang Li. Predicting the Quality of Short Narratives from Social Media. The 26th International Joint Conference on Artificial Intelligence (IJCAI). Melbourne, Australia. 2017.
• Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, and Boyang Li. Multiplicative Representations for Unsupervised Semantic Role Induction. The 54th Annual Meeting of the Association for Computational Linguistics (ACL). Berlin, Germany. 2016.
• Boyang Li. Learning Knowledge to Support Domain-Independent Narrative Intelligence. School of Interactive Computing, Georgia Institute of Technology. Ph.D. Dissertation. 2015.