research
∙
12/19/2022
Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling
The quality of knowledge retrieval is crucial in knowledge-intensive con...
share
research
∙
11/02/2022
PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation
Recently, the practical deployment of open-domain dialogue systems has b...
research
∙
10/14/2022
Q-TOD: A Query-driven Task-oriented Dialogue System
Existing pipelined task-oriented dialogue systems usually have difficult...
research
∙
08/30/2022
Towards Boosting the Open-Domain Chatbot with Human Feedback
Many open-domain dialogue models pre-trained with social media comments ...
research
∙
06/28/2022
SINC: Service Information Augmented Open-Domain Conversation
Generative open-domain dialogue systems can benefit from external knowle...
research
∙
03/08/2022
Towards Building an Open-Domain Dialogue System Incorporated with Internet Memes
In recent years, Internet memes have been widely used in online chatting...
research
∙
12/23/2021
TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations
Task-oriented dialogue systems have been plagued by the difficulties of ...
research
∙
10/29/2021
Amendable Generation for Dialogue State Tracking
In task-oriented dialogue systems, recent dialogue state tracking method...
research
∙
09/20/2021
PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation
To explore the limit of dialogue generation pre-training, we present the...
research
∙
05/06/2021
A Unified Pre-training Framework for Conversational AI
In this work, we explore the application of PLATO-2 on various dialogue ...
research
∙
02/03/2021
Learning to Select External Knowledge with Multi-Scale Negative Sampling
The Track-1 of DSTC9 aims to effectively answer user requests or questio...
research
∙
06/30/2020
PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning
To build a high-quality open-domain chatbot, we introduce the effective ...
research
∙
10/17/2019
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable
Pre-training models have been proved effective for a wide range of natur...
research
∙
09/14/2019
3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation
Recent advancements in medical image segmentation techniques have achiev...
research
∙
06/23/2019
DAL: Dual Adversarial Learning for Dialogue Generation
In open-domain dialogue systems, generative approaches have attracted mu...
research
∙
06/03/2019
Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment
In this paper, a novel Generation-Evaluation framework is developed for ...
research
∙
08/11/2018
Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering
In the last decade, a variety of topic models have been proposed for tex...
research
∙
11/11/2017
3D Randomized Connection Network with Graph-based Label Inference
In this paper, a novel 3D deep learning network is proposed for brain MR...
research
∙
07/31/2017
Familia: An Open-Source Toolkit for Industrial Topic Modeling
Familia is an open-source toolkit for pragmatic topic modeling in indust...
research
∙
10/24/2016
