Search Results for author:
Found 16 papers, 1 papers with code
Athena 2.0: Discourse and User Modeling in Open Domain Dialogue
Conversational agents are consistently growing in popularity and many people interact with them every day.
Let's Get Personal: Personal Questions Improve SocialBot Performance in the Alexa Prize
There has been an increased focus on creating conversational open-domain dialogue systems in the spoken dialogue community.
Athena 2.0: Contextualized Dialogue Management for an Alexa Prize SocialBot
Athena 2. 0 is an Alexa Prize SocialBot that has been a finalist in the last two Alexa Prize Grand Challenges.
Athena: Constructing Dialogues Dynamically with Discourse Constraints
This report describes Athena, a dialogue system for spoken conversation on popular topics and current events.
ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation
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.
Ranked #2 on
Data-to-Text Generation
on ViGGO
Entertaining and Opinionated but Too Controlling: A Large-Scale User Study of an Open Domain Alexa Prize System
In contrast, search and general Chit-Chat induced coverage problems; here users found it hard to infer what topics SB could understand, with these conversations seen as being too system-driven.
SlugBot: Developing a Computational Model andFramework of a Novel Dialogue Genre
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 and its structure.
Implicit Discourse Relation Identification for Open-domain Dialogues
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, especially in the context of an open-domain dialogue system.
Implicit Discourse Relation Classification
Implicit Relations
+2
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation
Natural language generation lies at the core of generative dialogue systems and conversational agents.
Ranked #4 on
Data-to-Text Generation
on E2E NLG Challenge
(using extra training data)
SlugNERDS: A Named Entity Recognition Tool for Open Domain Dialogue Systems
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 domain interaction where we cannot rely on domain-specific inference.
Slugbot: An Application of a Novel and Scalable Open Domain Socialbot Framework
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.
Combining Search with Structured Data to Create a More Engaging User Experience in Open Domain Dialogue
The greatest challenges in building sophisticated open-domain conversational agents arise directly from the potential for ongoing mixed-initiative multi-turn dialogues, which do not follow a particular plan or pursue a particular fixed information need.
Debbie, the Debate Bot of the Future
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 conversation.
Data-Driven Dialogue Systems for Social Agents
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 conversational chit chat, and which incorporates different natural language processing modules.
M2D: Monolog to Dialog Generation for Conversational Story Telling
Storytelling serves many different social functions, e. g. stories are used to persuade, share troubles, establish shared values, learn social behaviors, and entertain.
I Probe, Therefore I Am: Designing a Virtual Journalist with Human Emotions
By utilizing different communication channels, such as verbal language, gestures or facial expressions, virtually embodied interactive humans hold a unique potential to bridge the gap between human-computer interaction and actual interhuman communication.
