A feature based model for nested named entity recognition at VLSP - 2018 ner evaluation campaign

In this paper, we describe our named-entity recognition system at VLSP 2018 evaluation campaign. We formalized the task as a sequence labeling problem using B-I-O encoding scheme and applied a feature-based model which combines word, word-shape features, Brown-cluster-based features, and word-embedding-based features.
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A feature based model for nested named entity recognition at VLSP - 2018 ner evaluation campaign