Jinhua Du

A syntactic knowledge constrained paraphrase extraction for Chinese-English statistical machine translation

2017

On the basis of general pivot method for paraphrase extraction which might introduce much noise in extracted paraphrases, this paper proposes a syntactic knowledge-enhanced method to extract higher-quality paraphrases to further improve the quality of …

Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction

2018 · arXiv (Cornell University)

Attention mechanisms are often used in deep neural networks for distantly supervised relation extraction (DS-RE) to distinguish valid from noisy instances. However, traditional 1-D vector attention models are insufficient for the learning of different contexts …

Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

While widely used in industry, recurrent neural networks (RNNs) are known to have deficiencies in dealing with long sequences (e.g. slow inference, vanishing gradients etc.). Recent research has attempted to accelerate RNN models by developing …