29 citations · 120 across the 16 of their papers we have counts for
4 papers · 1 filter
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
Yuyang Nie, Yuanhe Tian, Yan Song +2
Named entity recognition (NER) is highly sensitive to sentential syntactic and semantic properties where entities may be extracted according to how they are used and placed in the…
Improving Robustness and Generality of NLP Models Using Disentangled Representations
Jiawei Wu, Xiaoya Li, Xiang Ao +3
Supervised neural networks, which first map an input to a single representation , and then map to the output label , have achieved remarkable success in a wide range…
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent
Bowen Weng, Huaqing Xiong, Yingbin Liang +1
Existing convergence analyses of Q-learning mostly focus on the vanilla stochastic gradient descent (SGD) type of updates. Despite the Adaptive Moment Estimation (Adam) has been co…
Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network
Chi Xu, Hao Feng, Guoxin Yu +3
Most recent existing aspect-term level sentiment analysis (ATSA) approaches combined various neural network models with delicately carved attention mechanisms built upon given aspe…