5 Result(s)
within
YanPeng Li
Computer Science
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Chapter and Conference Paper
Incorporating Dictionary Features into Conditional Random Fields for Gene/Protein Named Entity Recognition
Biomedical Named Entity Recognition (BioNER) is an important preliminary step for biomedical text mining. Previous researchers built dictionaries of gene/protein names from online databases and incorporated th...
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Chapter and Conference Paper
A New Performance Evaluation Method for Automatic Target Recognition Based on Forward Cloud
As the development of Automatic Target Recognition (ATR) technology, the performance evaluation for it becomes more and more important. In this paper, we introduced the cloud theory into the fuzzy comprehensiv...
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Chapter and Conference Paper
Enhancing Biomedical Named Entity Classification Using Terabyte Unlabeled Data
This paper presents a semi-supervised learning method to enhance biomedical named entity classification using features generated from labeled and terabyte unlabeled data, called Feature Coupling Degree (FCD) f...
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Chapter and Conference Paper
An Efficient Genetic Algorithm for the Traveling Salesman Problem
Based on an existing Genetic algorithm (GA) to TSP (IGT algorithm), by amending the original map** operator and Inver-over operator and introducing differing operator for the first time, a new GA to TSP is p...
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Article
Neural kernel map** SVM model based on multi-head self-attention for classification of Chinese meteorological disaster warning texts
Meteorological disaster warning information plays an important role in our life. However, if the meteorological department mistakenly sends incorrect meteorological disaster warning information, it will have c...
