activity
19942023
most citedOptimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System

354 citations · 1.6k across the 74 of their papers we have counts for

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56 papers · 1 filter

cs.CL2023★ 1 cited

Athena 2.0: Discourse and User Modeling in Open Domain Dialogue

Omkar Patil, Lena Reed, Kevin K. Bowden +12

Conversational agents are consistently growing in popularity and many people interact with them every day. While many conversational agents act as personal assistants, they can hav…

cs.CL2023

Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and Ranking

Angela Ramirez, Karik Agarwal, Juraj Juraska +2

Dialogue systems need to produce responses that realize multiple types of dialogue acts (DAs) with high semantic fidelity. In the past, natural language generators (NLGs) for dialo…

cs.CL2023

Let's Get Personal: Personal Questions Improve SocialBot Performance in the Alexa Prize

Kevin K. Bowden, Marilyn Walker

There has been an increased focus on creating conversational open-domain dialogue systems in the spoken dialogue community. Unlike traditional dialogue systems, these conversationa…

cs.CL2023★ 1 cited

Dependency Dialogue Acts -- Annotation Scheme and Case Study

Jon Z. Cai, Brendan King, Margaret Perkoff +9

In this paper, we introduce Dependency Dialogue Acts (DDA), a novel framework for capturing the structure of speaker-intentions in multi-party dialogues. DDA combines and adapts fe…

cs.CL2023

A Transformer-based Response Evaluator for Open-Domain Spoken Conversation

Vrindavan Harrison, Rishi Rajasekaran, Marilyn Walker

Many open-domain dialogue systems rely on multiple response generators, any of which can contribute a response to the dialogue in a particular context. Thus the ability to compare…

cs.CL2023★ 6 cited

Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learning

Angela Ramirez, Mamon Alsalihy, Kartik Aggarwal +3

Prompt-based or in-context learning has achieved high zero-shot performance on many natural language generation (NLG) tasks. Here we explore the performance of prompt-based learnin…