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From Retrieval to Generation: Efficient and Effective Entity Set
  Expansion

From Retrieval to Generation: Efficient and Effective Entity Set Expansion

7 April 2023
Shulin Huang
Shirong Ma
Y. Li
Yinghui Li
Yong-jia Jiang
Haitao Zheng
Ying Shen
ArXivPDFHTML

Papers citing "From Retrieval to Generation: Efficient and Effective Entity Set Expansion"

4 / 4 papers shown
Title
MESED: A Multi-modal Entity Set Expansion Dataset with Fine-grained
  Semantic Classes and Hard Negative Entities
MESED: A Multi-modal Entity Set Expansion Dataset with Fine-grained Semantic Classes and Hard Negative Entities
Y. Li
Tingwei Lu
Yinghui Li
Tianyu Yu
Shulin Huang
Haitao Zheng
Rui Zhang
Jun Yuan
33
11
0
27 Jul 2023
Towards Attribute-Entangled Controllable Text Generation: A Pilot Study
  of Blessing Generation
Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation
Shulin Huang
Shirong Ma
Yinghui Li
Y. Li
Shiyang Lin
Haitao Zheng
Ying Shen
33
4
0
29 Oct 2022
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Ruiyang Liu
Yinghui Li
Li Tao
Dun Liang
Haitao Zheng
71
96
0
07 Nov 2021
Progressive Adversarial Learning for Bootstrapping: A Case Study on
  Entity Set Expansion
Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion
Lingyong Yan
Xianpei Han
Le Sun
16
5
0
24 Sep 2021
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