13 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.CL2019
Effective Context and Fragment Feature Usage for Named Entity Recognition
Nargiza Nosirova, Mingbin Xu, Hui Jiang
In this paper, we explore a new approach to named entity recognition (NER) with the goal of learning from context and fragment features more effectively, contributing to the improv…
cs.CL2019★ 1 cited
A Multi-task Learning Approach for Named Entity Recognition using Local Detection
Nargiza Nosirova, Mingbin Xu, Hui Jiang
Named entity recognition (NER) systems that perform well require task-related and manually annotated datasets. However, they are expensive to develop, and are thus limited in size.…
cs.NE2015★ 13 cited
A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models
Shiliang Zhang, Hui Jiang, Mingbin Xu +2
In this paper, we propose the new fixed-size ordinally-forgetting encoding (FOFE) method, which can almost uniquely encode any variable-length sequence of words into a fixed-size r…