research
∙
01/27/2023
Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation
Language models have steadily increased in size over the past few years....
share
research
∙
08/18/2022
The DialPort tools
The DialPort project http://dialport.org/, funded by the National Scienc...
research
∙
07/28/2022
Interactive Evaluation of Dialog Track at DSTC9
The ultimate goal of dialog research is to develop systems that can be e...
research
∙
07/28/2022
LAD: Language Models as Data for Zero-Shot Dialog
To facilitate zero-shot generalization in taskoriented dialog, this pape...
research
∙
07/25/2022
DialCrowd 2.0: A Quality-Focused Dialog System Crowdsourcing Toolkit
Dialog system developers need high-quality data to train, fine-tune and ...
research
∙
05/25/2022
Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
Instruction tuning is an emergent paradigm in NLP wherein natural langua...
research
∙
03/18/2022
Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges
This is a report on the NSF Future Directions Workshop on Automatic Eval...
research
∙
11/09/2021
A Survey of NLP-Related Crowdsourcing HITs: what works and what does not
Crowdsourcing requesters on Amazon Mechanical Turk (AMT) have raised que...
research
∙
06/13/2021
Schema-Guided Paradigm for Zero-Shot Dialog
Developing mechanisms that flexibly adapt dialog systems to unseen tasks...
research
∙
06/13/2021
GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot Filling
In transfer learning, it is imperative to achieve strong alignment betwe...
research
∙
06/07/2021
A Comprehensive Assessment of Dialog Evaluation Metrics
Automatic evaluation metrics are a crucial component of dialog systems r...
research
∙
11/12/2020
Overview of the Ninth Dialog System Technology Challenge: DSTC9
This paper introduces the Ninth Dialog System Technology Challenge (DSTC...
research
∙
06/23/2020
Unsupervised Evaluation of Interactive Dialog with DialoGPT
It is important to define meaningful and interpretable automatic evaluat...
research
∙
06/10/2020
Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges
This USER Workshop was convened with the goal of defining future researc...
research
∙
05/01/2020
USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation
The lack of meaningful automatic evaluation metrics for dialog has imped...
research
∙
04/04/2020
"None of the Above":Measure Uncertainty in Dialog Response Retrieval
This paper discusses the importance of uncovering uncertainty in end-to-...
research
∙
09/03/2019
CMU GetGoing: An Understandable and Memorable Dialog System for Seniors
Voice-based technologies are typically developed for the average user, a...
research
∙
08/26/2019
Multi-Granularity Representations of Dialog
Neural models of dialog rely on generalized latent representations of la...
research
∙
07/24/2019
Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References
The aim of this paper is to mitigate the shortcomings of automatic evalu...
research
∙
07/23/2019
Structured Fusion Networks for Dialog
Neural dialog models have exhibited strong performance, however their en...
research
∙
06/02/2019
Pretraining Methods for Dialog Context Representation Learning
This paper examines various unsupervised pretraining objectives for lear...
research
∙
02/23/2019
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models
Defining action spaces for conversational agents and optimizing their de...
research
∙
01/20/2019
Beyond Turing: Intelligent Agents Centered on the User
This paper makes the case that while most research on intelligent agents...
research
∙
11/28/2018
Context-Aware Dialog Re-Ranking for Task-Oriented Dialog Systems
Dialog response ranking is used to rank response candidates by consideri...
research
∙
10/24/2018
Multimodal Polynomial Fusion for Detecting Driver Distraction
Distracted driving is deadly, claiming 3,477 lives in the U.S. in 2015 a...
research
∙
05/13/2018
Zero-Shot Dialog Generation with Cross-Domain Latent Actions
This paper introduces zero-shot dialog generation (ZSDG), as a step towa...
research
∙
04/22/2018
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation
The encoder-decoder dialog model is one of the most prominent methods us...
research
∙
07/12/2017
Explainable Entity-based Recommendations with Knowledge Graphs
Explainable recommendation is an important task. Many methods have been ...
research
∙
06/26/2017
Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability
Generative encoder-decoder models offer great promise in developing doma...
research
∙
03/31/2017
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
While recent neural encoder-decoder models have shown great promise in m...
research
∙
06/27/2016
Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context
The problem of accurately predicting relative reading difficulty across ...
research
∙
06/13/2016
Graph-Community Detection for Cross-Document Topic Segment Relationship Identification
In this paper we propose a graph-community detection approach to identif...
research
∙
06/08/2016
DialPort: Connecting the Spoken Dialog Research Community to Real User Data
This paper describes a new spoken dialog portal that connects systems pr...
research
∙
06/08/2016
Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning
This paper presents an end-to-end framework for task-oriented dialog sys...
research
∙
03/18/2016