基于条件随机场的农业命名实体识别研究

Study on recognition of chinese agricultural named entity with conditional random fields

农业命名实体的识别对于农业领域信息抽取起着重要的作用,本文采用条件随机场(CRF)模型,利用2种标注集,选取词汇、词形、语法等一系列特征进行训练,通过不断调整模板和特征选择改进训练模型,实验取得较好的识别效果。

Agricultural named entity recognition has played a very important role in information extraction field of agriculture . In this paper, We use Conditional Random Fields （CRF） model and use two sets of labeling strategies including a series of feature training by selecting vocabu- lary, morphology, syntax features. By continuously adjusting the templates and feature selection improving training models, We has obtained better recognition results.