87 citations · 328 across the 62 of their papers we have counts for
7 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…
Style Transfer in Text: Exploration and Evaluation
Zhenxin Fu, Xiaoye Tan, Nanyun Peng +2
Style transfer is an important problem in natural language processing (NLP). However, the progress in language style transfer is lagged behind other domains, such as computer visio…
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…
Keyword Search on RDF Graphs - A Query Graph Assembly Approach
Shuo Han, Lei Zou, Jeffrey Xu Yu +1
Keyword search provides ordinary users an easy-to-use interface for querying RDF data. Given the input keywords, in this paper, we study how to assemble a query graph that is to re…