W. Victor H. Yarlott

I currently do consulting in the field of Artificial Intelligence. Previously, I completed my Ph.D. at FIU under Mark A. Finlayson.

Email:

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Phone:

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Curriculum Vitae [pdf]

Doctoral Dissertation [PDF]

Communicating with Culture: How Humans and Machines Detect Narrative Elements

Mirror:

FIU Digital Commons)

Master's Thesis [PDF]

Old man coyote stories: cross-cultural story understanding in the Genesis story understanding system

Mirrors:

Genesis Group, MIT dspace)

Research Interests

I study narrative and how it relates to culture, emotion, and human intelligence from a computational perspective.

Biography

I received my Ph.D. in Computer Science from FIU in 2022 under the direction of Professor Mark A. Finlayson on the topic of analyzing and detecting how humans detect narrative elements. I received my M.Eng. in Electrical Engineering and Computer Science from MIT in 2014 under the direction of Professor Patrick H. Winston working on folklore from the Crow tribe. I also received my B.S. in Electrical Engineering and Computer Science from MIT in 2014 with a minor in writing. Outside of academics, I am passionate about reading, writing, video games, music, and photography.

Citable Works

Acharya, A., Castro Estrada, D., Yarlott, W.V.H., Gomez, D., & Finlayson, M.A. (2024) Discovering Implicit Meanings of Cultural Motifs from Text. In Proceedings of the 6th Workshop on Natural Language Processing and Computational Social Science (NLP+CSS 2024), Mexico City, Mexico. 45–56.

Yarlott, W.V.H., Acharya, A., Castro Estrada, D., Gomez, D., & Finlayson, M.A. (2024) GOLEM: Gold standard for Learning and Evaluation of Motifs. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Turin, Italy. 7801–7813.

Yarlott, W.V.H., Ochoa, A., Acharya, A., Bobrow, L., Estrada, D.C., Gomez, D., Zheng, J., McDonald, D., Miller, C. & Finlayson, M.A. (2021) Finding Trolls Under Bridges: Preliminary Work on a Motif Detector. In Proceedings of the 9th Annual Conference on Advances in Cognitive Systems (ACS 2021), Online. Paper 23.

Jahan, L., Mittal, R., Yarlott, W.V.H. & Finlayson, M.A. (2020) A Straightforward Approach to Narratologically Grounded Character Identification. In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain (Online). 6089–6100.

Jahan, L., Yarlott, W.V.H., Mittal, R. & Finlayson, M.A. (2020) Confirming the Generalizability of a Chain-Based Animacy Detector. In Proceedings of the 1st Workshop on Artificial Intelligence for Narratives (AI4N 2020), Yokohama, Japan (Online). 43–46.

Banisakher, D., Yarlott, W.V., Aldawsari, M., Rishe, N. & Finlayson, M.A. (2020) Improving the Identification of the Discourse Function of News Article Paragraphs. In Proceedings of the 1st Joint Workshop on Narrative Understanding, Storylines, and Events (NUSE 2020), Online. 17–25.

Yarlott, W.V.H., Cornelio, C., Gao, T. & Finlayson, M.A. (2018) Identifying the Discourse Function of News Article Paragraphs. In Proceedings of the Workshop on Events and Stories in the News (EventStory 2018), Santa Fe, NM. 25–33.

Yarlott, W.V.H. & Finlayson, M.A. (2016) ProppML: A Complete Annotation Scheme for Proppian Morphologies. In Proceedings of the 7th International Workshop on Computational Models of Narrative (CMN'16), Krakow, Poland. Paper 8.

Yarlott, W.V.H. & Finlayson, M.A. (2016) Learning a Better Motif Index: Toward Automated Motif Extraction. In Proceedings of the 7th International Workshop on Computational Models of Narrative (CMN'16), Krakow, Poland. Paper 7.

Eisenberg, J.D., Yarlott, W.V.H., & Finlayson, M.A. (2016) Comparing Extant Story Classifiers: Results & New Directions. In Proceedings of the 7th International Workshop on Computational Models of Narrative (CMN'16), Krakow, Poland. Paper 6.