6 citations · 9 across the 2 of their papers we have counts for
3 papers
cs.CL2019★ 6 cited
Deep Structured Neural Network for Event Temporal Relation Extraction
Rujun Han, I-Hung Hsu, Mu Yang +3
We propose a novel deep structured learning framework for event temporal relation extraction. The model consists of 1) a recurrent neural network (RNN) to learn scoring functions f…
cs.CL2019
NIESR: Nuisance Invariant End-to-end Speech Recognition
I-Hung Hsu, Ayush Jaiswal, Premkumar Natarajan
Deep neural network models for speech recognition have achieved great success recently, but they can learn incorrect associations between the target and nuisance factors of speech…
cs.CL2017★ 3 cited
Mitigating the Impact of Speech Recognition Errors on Chatbot using Sequence-to-Sequence Model
Pin-Jung Chen, I-Hung Hsu, Yi-Yao Huang +1
We apply sequence-to-sequence model to mitigate the impact of speech recognition errors on open domain end-to-end dialog generation. We cast the task as a domain adaptation problem…