Peng Shi

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We investigate mutual benefits between syntax and semantic roles using neural network models, by studying a parsing→SRL pipeline, a SRL→parsing pipeline, and a simple joint model by embedding sharing. The integration of syntactic and semantic features gives promising results in a Chinese Semantic Tree-bank, demonstrating large potentials of neural models(More)
We study complex task crowdsourcing by team formation in social networks (SNs), where the requester wishes to hire a group of socially close workers that can work together as a team. The workers are selfish that can manipulate the crowdsourcing system by providing unreal private information , which will discourage other workers from participation and is(More)
In this paper, an approximated-based adaptive fuzzy control approach with only one adaptive parameter is presented for a class of single input single output strict-feedback nonlinear systems in order to deal with phenomena like nonlinear uncertainties, unmodeled dynamics, dynamic disturbances, and unknown time delays. Lyapunov-Krasovskii function approach(More)