238 citations · 1.1k across the 27 of their papers we have counts for
4 papers · 1 filter
Scale Up Event Extraction Learning via Automatic Training Data Generation
Ying Zeng, Yansong Feng, Rong Ma +4
The task of event extraction has long been investigated in a supervised learning paradigm, which is bound by the number and the quality of the training instances. Existing training…
Learning to Predict Charges for Criminal Cases with Legal Basis
Bingfeng Luo, Yansong Feng, Jianbo Xu +2
The charge prediction task is to determine appropriate charges for a given case, which is helpful for legal assistant systems where the user input is fact description. We argue tha…
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
Bingfeng Luo, Yansong Feng, Zheng Wang +4
Distant supervision significantly reduces human efforts in building training data for many classification tasks. While promising, this technique often introduces noise to the gener…
A Constrained Sequence-to-Sequence Neural Model for Sentence Simplification
Yaoyuan Zhang, Zhenxu Ye, Yansong Feng +2
Sentence simplification reduces semantic complexity to benefit people with language impairments. Previous simplification studies on the sentence level and word level have achieved…