Research

My current work centers around Bayesian models of pragmatics. I’m interested in extending them to figurative language (particularly irony and metaphor) and sociolinguistic phenomena (indexicality), as well as scaling them in computationally tractable ways to handle the complexity of natural language.

Computational Pragmatics

Lost in Machine Translation: A Method to Reduce Meaning Loss (poster)
(NAACL 2019 - Cohn-Gordon and Goodman)

Pragmatically Informative Image Captioning with Character-Level Inference (slides)
(NAACL 2018 - Cohn-Gordon, Goodman and Potts)

An Incremental Iterated Response Model of Pragmatics
(SCiL 2019, ACL Proceedings - Cohn-Gordon, Goodman and Potts)
(Similar work presented at CompPrag 2018 - Cohn-Gordon and Potts)

Figurative Language

Verbal Irony, Pretense, and the Common Ground
(submitted for publication, 2019 - Cohn-Gordon and Bergen)

Social Meaning

Modeling “Non-literal” Social Meaning with Bayesian Pragmatics (slides)
(Sinn und Bedeutung 2018 - Cohn-Gordon and Qing)

Non-descriptive/use-conditional meaning in Rational Speech-Act models
(Sinn und Bedeutung 2018 - Qing and Cohn-Gordon)

Past Work

Intransitive Object Marking in Amharic (description)
(Presented as a poster at LSA 2017)

Ability Modals (description)

Monads for NL Semantics (draft)

Resultativity in Latin (description)