research
∙
10/09/2022
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning
Providing Emotional Support (ES) to soothe people in emotional distress ...
share
research
∙
04/29/2022
"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics
With the rise of telemedicine, the task of developing Dialogue Systems f...
research
∙
04/02/2022
Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer
With the rapid development of cloud manufacturing, industrial production...
research
∙
10/12/2021
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation
Recent years have witnessed the dramatic growth of paper volumes with pl...
research
∙
09/07/2021
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization
Existing unsupervised document hashing methods are mostly established on...
research
∙
06/17/2021
Prototypical Graph Contrastive Learning
Graph-level representations are critical in various real-world applicati...
research
∙
05/27/2021
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval
With the need of fast retrieval speed and small memory footprint, docume...
research
∙
05/25/2021
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting
This paper explores the task of Difficulty-Controllable Question Generat...
research
∙
04/10/2021
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management
For task-oriented dialog systems, training a Reinforcement Learning (RL)...
research
∙
01/27/2021
Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion
Taxonomy is a hierarchically structured knowledge graph that plays a cru...
research
∙
12/22/2020
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
Human doctors with well-structured medical knowledge can diagnose a dise...
research
∙
12/08/2020
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things
Federated Edge Learning (FEL) allows edge nodes to train a global deep l...
research
∙
12/08/2020
RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System
Federated Learning (FL) is an emerging decentralized artificial intellig...
research
∙
06/15/2020
