Dr. Josh Eisenberg

I am the Director of Artie's NFT + AI Laboratory.

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Before Artie, I researched my Ph.D. dissertation on computational understanding of narrative structure, at Florida International University's School of Computing and Information Sciences.

Twitter: dr_slurp_

Research Interests

I research the computational understanding of narrative and conversational dialogue. I use these findings to make fun video games and dynamic NFTs.
I also research the computational generation of musical improvisation. I also make music and sounds.

Patents

Eisenberg, J.D., & Finlayson, M.A., Features for Classification of Stories”, issued February 2, 2021. Patent granted, patent number US 10,909,324 B2.

Eisenberg, J.D., & Finlayson, M.A., “Features for the Automatic Classification of Narrative Point of View and Diegesis”, issued January 29, 2019. Patent granted, patent number US 10,191,975 B1.

Dissertation

Eisenberg, J.D., (2018) Automatic Extraction of Narrative Structure from Long Form Text, in FIU Electronic Theses and Dissertations. 3912

Published papers

Eisenberg, J.D., & Sheriff, M. (2020) Automatic extraction of personal events from dialogue, in Proceedings of the 1st Workshop on Narrative Understanding, Storylines, and Events (NUSE 2020), Seattle, Washington

Meyer, J., Rauchenstein, L., Eisenberg, J.D., & Howell, N. (2020) Artie Bias Corpus: An Open Dataset for Detecting Demographic Bias in Speech Applications, in Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), Marseille, France

Eisenberg, J.D., & Finlayson, M.A. (2017) A Simpler and More Generalizable Story Detector using Verb and Character Features, in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark

Eisenberg, J.D., Banisakher, D., Presa, M., Unthank, K., Finlayson, M.A., Price, R., & and Chen, S. (2017) Toward Semantic Search for the Biogeochemical Literature, in Proceedings of the IEEE 18th International Conference on Information Reuse and Integration (IEEE IRI 2017),, San Diego, CA

Eisenberg, J.D., & Finlayson, M.A. (2016) Automatic Identification of Narrative Diegesis and Point of View, in Proceedings of the Second Workshop on Computating News Storylines (CNewsStory 2016), Austin, Texas.

Eisenberg, J.D., Yarlott W.V.H., & Finlayson, M.A. (2016) Comparing Extant Story Classifers: Results & New Directions, in Proceedings of the Seventh International Workshop on Computational Models of Narrative (CMN 2016), Krakow, Poland.

Talks

Eisenberg, J.D. (2020) Animal Crossing Artificial Intelligence Workshop Post-Mortem, at Experimental AI in Games 2020 (EXAG 2020) on October 29, 2020.

Eisenberg, J.D. (2020) Extracting Personal Events from Dialogue, at NLPxing on August 27, 2020.

Eisenberg, J.D. (2020) ACAI: Extracting Personal Events from Dialogue, at Animal Crossing Aritifical Intelligence Workshop (ACAI 2020) on July 23, 2020.

Eisenberg, J.D. (2018) Racist, Sexist, and Incoherent-- The poor quality of computationally generated language, at Ignite NYC 16 -- AI: Smart, Creative, Racist or Misunderstood?, New York, New York, on April 30, 2018.

Music

Dr. Slurp (2021) Music, Sound Design, Production and Recording for Forgotten Runes Wizard Cult's Great Burning on October 31, 2021

Software & Corpora

Eisenberg, J.D., & Sheriff, M. (2020) "Personal Events in Dialogue Corpus (PEDC)"

Eisenberg, J.D., & Finlayson, M. A. (2016) Data and Code for "Automatic Identification of Narrative Diegesis and Point of View"