activity
20172023
most citedEntertaining and Opinionated but Too Controlling: A Large-Scale User Study of an Open Domain Alexa Prize System

27 citations · 103 across the 15 of their papers we have counts for

collaborators

17 papers

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

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.CL2021

Athena 2.0: Contextualized Dialogue Management for an Alexa Prize SocialBot

Juraj Juraska, Kevin K. Bowden, Lena Reed +12

Athena 2.0 is an Alexa Prize SocialBot that has been a finalist in the last two Alexa Prize Grand Challenges. One reason for Athena's success is its novel dialogue management strat…

cs.CL2020★ 4 cited

Athena: Constructing Dialogues Dynamically with Discourse Constraints

Vrindavan Harrison, Juraj Juraska, Wen Cui +11

This report describes Athena, a dialogue system for spoken conversation on popular topics and current events. We develop a flexible topic-agnostic approach to dialogue management t…

cs.CL2019

ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation

Juraj Juraska, Kevin K. Bowden, Marilyn Walker

The uptake of deep learning in natural language generation (NLG) led to the release of both small and relatively large parallel corpora for training neural models. The existing dat…

cs.CL2019★ 27 cited

Entertaining and Opinionated but Too Controlling: A Large-Scale User Study of an Open Domain Alexa Prize System

Kevin K. Bowden, Jiaqi Wu, Wen Cui +6

Conversational systems typically focus on functional tasks such as scheduling appointments or creating todo lists. Instead we design and evaluate SlugBot (SB), one of 8 semifinalis…

cs.CL2019★ 11 cited

SlugBot: Developing a Computational Model andFramework of a Novel Dialogue Genre

Kevin K. Bowden, Jiaqi Wu, Wen Cui +5

One of the most interesting aspects of the Amazon Alexa Prize competition is that the framing of the competition requires the development of new computational models of dialogue an…

cs.CL2019★ 2 cited

Implicit Discourse Relation Identification for Open-domain Dialogues

Mingyu Derek Ma, Kevin K. Bowden, Jiaqi Wu +2

Discourse relation identification has been an active area of research for many years, and the challenge of identifying implicit relations remains largely an unsolved task, especial…

cs.CL2018★ 3 cited

A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation

Juraj Juraska, Panagiotis Karagiannis, Kevin K. Bowden +1

Natural language generation lies at the core of generative dialogue systems and conversational agents. We describe an ensemble neural language generator, and present several novel…

cs.CL2018★ 16 cited

SlugNERDS: A Named Entity Recognition Tool for Open Domain Dialogue Systems

Kevin K. Bowden, Jiaqi Wu, Shereen Oraby +2

In dialogue systems, the tasks of named entity recognition (NER) and named entity linking (NEL) are vital preprocessing steps for understanding user intent, especially in open doma…

cs.CL2018★ 7 cited

Slugbot: An Application of a Novel and Scalable Open Domain Socialbot Framework

Kevin K. Bowden, Jiaqi Wu, Shereen Oraby +2

In this paper we introduce a novel, open domain socialbot for the Amazon Alexa Prize competition, aimed at carrying on friendly conversations with users on a variety of topics. We…

cs.CL2017★ 6 cited

Combining Search with Structured Data to Create a More Engaging User Experience in Open Domain Dialogue

Kevin K. Bowden, Shereen Oraby, Jiaqi Wu +2

The greatest challenges in building sophisticated open-domain conversational agents arise directly from the potential for ongoing mixed-initiative multi-turn dialogues, which do no…

cs.CL2017

Data-Driven Dialogue Systems for Social Agents

Kevin K. Bowden, Shereen Oraby, Amita Misra +2

In order to build dialogue systems to tackle the ambitious task of holding social conversations, we argue that we need a data driven approach that includes insight into human conve…

cs.CL2017★ 1 cited

Debbie, the Debate Bot of the Future

Geetanjali Rakshit, Kevin K. Bowden, Lena Reed +2

Chatbots are a rapidly expanding application of dialogue systems with companies switching to bot services for customer support, and new applications for users interested in casual…

cs.CL2017

PersonaBank: A Corpus of Personal Narratives and Their Story Intention Graphs

Stephanie M. Lukin, Kevin Bowden, Casey Barackman +1

We present a new corpus, PersonaBank, consisting of 108 personal stories from weblogs that have been annotated with their Story Intention Graphs, a deep representation of the fabul…

cs.CL2017★ 24 cited

M2D: Monolog to Dialog Generation for Conversational Story Telling

Kevin K. Bowden, Grace I. Lin, Lena I. Reed +1

Storytelling serves many different social functions, e.g. stories are used to persuade, share troubles, establish shared values, learn social behaviors, and entertain. Moreover, st…

cs.HC2017★ 1 cited

I Probe, Therefore I Am: Designing a Virtual Journalist with Human Emotions

Kevin K. Bowden, Tommy Nilsson, Christine P. Spencer +3

By utilizing different communication channels, such as verbal language, gestures or facial expressions, virtually embodied interactive humans hold a unique potential to bridge the…