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Chapter and Conference Paper
L2R-QA: An Open-Domain Question Answering Framework
Open-domain question answering has always being a challenging task. It involves information retrieval, natural language processing, machine learning, and so on. In this work, we try to explore some comparable ...
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Chapter and Conference Paper
An Advanced Least Squares Twin Multi-class Classification Support Vector Machine for Few-Shot Classification
In classification tasks, deep learning methods yield high performance. However, owing to lack of enough annotated data, deep learning methods often underperformed. Therefore, we propose an advance version of l...
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Chapter and Conference Paper
Data Augmentation for Deep Learning of Judgment Documents
With the increasing number of machine learning parameters, the requirements on data quantity are getting higher and higher to train a good model. The choice of methods and the optimization of parameters can im...
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Chapter and Conference Paper
Using Case Facts to Predict Penalty with Deep Learning
With the promotion of Wisdom Court construction and the increasing completeness of judicial big data, the combination of judicial and artificial intelligence attracted more and more attention. The Judicial doc...
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Chapter and Conference Paper
Adaptive Flower Pollination Algorithm Based on Chaotic Map
Flower pollination algorithm (FPA) is one of the well-known evolutionary techniques used extensively to solve optimization problems. Despite its efficiency and wide use, the identical search behaviors may lead...