most citedA Multi-Perspective Learning to Rank Approach to Support Children's Information Seeking in the Classroom

2 citations · 3 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2024

Unsupervised, Bottom-up Category Discovery for Symbol Grounding with a Curious Robot

Catherine Henry, Casey Kennington

Towards addressing the Symbol Grounding Problem and motivated by early childhood language development, we leverage a robot which has been equipped with an approximate model of curi…

cs.CL2024

Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community

Casey Kennington, Malihe Alikhani, Heather Pon-Barry +20

The ability to interact with machines using natural human language is becoming not just commonplace, but expected. The next step is not just text interfaces, but speech interfaces…

cs.CL2024

Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning

Jun Zhuang, Casey Kennington

As new research on Large Language Models (LLMs) continues, it is difficult to keep up with new research and models. To help researchers synthesize the new research many have writte…

cs.IR20232 cited

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…

cs.CL2023

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…

cs.AI20231 cited

Who's in Charge? Roles and Responsibilities of Decision-Making Components in Conversational Robots

Pierre Lison, Casey Kennington

Software architectures for conversational robots typically consist of multiple modules, each designed for a particular processing task or functionality. Some of these modules are d…