activity
20192021
most citedSub-Architecture Ensemble Pruning in Neural Architecture Search

26 citations · 39 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2021★ 5 cited

UniDS: A Unified Dialogue System for Chit-Chat and Task-oriented Dialogues

Xinyan Zhao, Bin He, Yasheng Wang +6

With the advances in deep learning, tremendous progress has been made with chit-chat dialogue systems and task-oriented dialogue systems. However, these two systems are often tackl…

cs.CL2021★ 3 cited

Relation Classification with Entity Type Restriction

Shengfei Lyu, Huanhuan Chen

Relation classification aims to predict a relation between two entities in a sentence. The existing methods regard all relations as the candidate relations for the two entities in…

cs.AI2020★ 3 cited

Brain-inspired Search Engine Assistant based on Knowledge Graph

Xuejiao Zhao, Huanhuan Chen, Zhenchang Xing +1

Search engines can quickly response a hyperlink list according to query keywords. However, when a query is complex, developers need to repeatedly refine the search keywords and ope…

cs.CL2020

A Weighted Heterogeneous Graph Based Dialogue System

Xinyan Zhao, Liangwei Chen, Huanhuan Chen

Knowledge based dialogue systems have attracted increasing research interest in diverse applications. However, for disease diagnosis, the widely used knowledge graph is hard to rep…

cs.CL2020★ 1 cited

Correction of Faulty Background Knowledge based on Condition Aware and Revise Transformer for Question Answering

Xinyan Zhao, Xiao Feng, Haoming Zhong +2

The study of question answering has received increasing attention in recent years. This work focuses on providing an answer that compatible with both user intent and conditioning i…

cs.LG2019★ 26 cited

Sub-Architecture Ensemble Pruning in Neural Architecture Search

Yijun Bian, Qingquan Song, Mengnan Du +3

Neural architecture search (NAS) is gaining more and more attention in recent years due to its flexibility and remarkable capability to reduce the burden of neural network design.…

cs.CL2019★ 1 cited

Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition

Shengfei Lyu, Linghao Sun, Huixiong Yi +3

In recent years, great success has been achieved in many tasks of natural language processing (NLP), e.g., named entity recognition (NER), especially in the high-resource language,…