2 citations · 6 across the 4 of their papers we have counts for
4 papers
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction
Chenhan Yuan, Ryan Rossi, Andrew Katz +1
The models of n-ary cross sentence relation extraction based on distant supervision assume that consecutive sentences mentioning n entities describe the relation of these n entitie…
Clustering-based Unsupervised Generative Relation Extraction
Chenhan Yuan, Ryan Rossi, Andrew Katz +1
This paper focuses on the problem of unsupervised relation extraction. Existing probabilistic generative model-based relation extraction methods work by extracting sentence feature…
Efficient text generation of user-defined topic using generative adversarial networks
Chenhan Yuan, Yi-chin Huang, Cheng-Hung Tsai
This study focused on efficient text generation using generative adversarial networks (GAN). Assuming that the goal is to generate a paragraph of a user-defined topic and sentiment…
Personalized sentence generation using generative adversarial networks with author-specific word usage
Chenhan Yuan, Yi-Chin Huang
The author-specific word usage is a vital feature to let readers perceive the writing style of the author. In this work, a personalized sentence generation method based on generati…