论文信息 - Incorporating Unsupervised Features into CRF based Named Entity Recognition

Incorporating Unsupervised Features into CRF based Named Entity Recognition

We participated in the extraction of complaint and diagnosis Task and the normalization of complaint and diagnosis Task of MedNLP2 in NTCIR11. In the extraction Task, we use CRF based Named Entity Recognition method. Moreover, we incorporate unsupervised features learned from raw corpus into CRF. We show such unsupervised features improve system performance. Team Name CL

Mai Omura | Mirai Miura | Yuki Tawara

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