10 citations · 10 across the 1 of their papers we have counts for
2 papers
cs.AI2019★ 10 cited
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning
Haodi Zhang, Zihang Gao, Yi Zhou +3
Deep reinforcement learning has been successfully used in many dynamic decision making domains, especially those with very large state spaces. However, it is also well-known that d…
cs.CL2018
KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation
Shi Yin, Yi Zhou, Chenguang Li +4
We propose KDSL, a new word sense disambiguation (WSD) framework that utilizes knowledge to automatically generate sense-labeled data for supervised learning. First, from WordNet,…