9 citations · 22 across the 8 of their papers we have counts for
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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,…
cs.AI2018
Robot Representation and Reasoning with Knowledge from Reinforcement Learning
Keting Lu, Shiqi Zhang, Peter Stone +1
Reinforcement learning (RL) agents aim at learning by interacting with an environment, and are not designed for representing or reasoning with declarative knowledge. Knowledge repr…
cs.AI2018
Goal-oriented Dialogue Policy Learning from Failures
Keting Lu, Shiqi Zhang, Xiaoping Chen
Reinforcement learning methods have been used for learning dialogue policies. However, learning an effective dialogue policy frequently requires prohibitively many conversations. T…