activity
20152026
most citedIncrementalizing RASA's Open-Source Natural Language Understanding Pipeline

13 citations · 28 across the 16 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.IR2023★ 2 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.CV2023★ 2 cited

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…

cs.AI2023★ 1 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…

cs.CL2023

Evaluating Automatic Speech Recognition in an Incremental Setting

Ryan Whetten, Mir Tahsin Imtiaz, Casey Kennington

The increasing reliability of automatic speech recognition has proliferated its everyday use. However, for research purposes, it is often unclear which model one should choose for…

cs.CL2023

Conversational Agents and Children: Let Children Learn

Casey Kennington, Jerry Alan Fails, Katherine Landau Wright +1

Using online information discovery as a case study, in this position paper we discuss the need to design, develop, and deploy (conversational) agents that can -- non-intrusively --…