13 citations · 28 across the 16 of their papers we have counts for
17 papers
A Primer on Computational Semantics for Artificial Intelligence Systems
Casey Kennington
As people adopt transformer-based language models (e.g., ChatGPT and Gemini) for an increasing number of use-cases, it is important to know how such models learn and represent the…
Could the Road to Grounded, Neuro-symbolic AI be Paved with Words-as-Classifiers?
Casey Kennington, David Schlangen
Formal, Distributional, and Grounded theories of computational semantics each have their uses and their drawbacks. There has been a shift to ground models of language by adding vis…
Prior Lessons of Incremental Dialogue and Robot Action Management for the Age of Language Models
Casey Kennington, Pierre Lison, David Schlangen
Efforts towards endowing robots with the ability to speak have benefited from recent advancements in natural language processing, in particular large language models. However, curr…
A Multi-Perspective Learning to Rank Approach to Support Children's Information Seeking in the Classroom
Garrett Allen, Katherine Landau Wright, Jerry Alan Fails +2
We introduce a novel re-ranking model that aims to augment the functionality of standard search engines to support classroom search activities for children (ages 6 to 11). This mod…
On the Computational Modeling of Meaning: Embodied Cognition Intertwined with Emotion
Casey Kennington
This document chronicles this author's attempt to explore how words come to mean what they do, with a particular focus on child language acquisition and what that means for models…
Vision Language Transformers: A Survey
Clayton Fields, Casey Kennington
Vision language tasks, such as answering questions about or generating captions that describe an image, are difficult tasks for computers to perform. A relatively recent body of re…