Improvement Recall of NTCIR-MedNLP Using Hierarchical Bayesian Language Models.
Ryo Fujii, Masashi Tada · 2013
The msiknowledge team participated in the de-identification, complaint and diagnosis subtasks of the NTCIR-10 MedNLP Pilot Task. The terms of complaint and diagnosis subtasks may have several representations and some terms may be not in sample data, and also locations and personal names in de-identification task are unique in each cases, so simple dictionary building from sample can’t solve the problem. In this research, to avoid using outer copora or dictio-naries which are not general solution, we aimed at building a system that learns to recognize terminology from small tagged corpus by combining a tag level language model and a character level language model base on HPYLM. Team Name msiknowledge Subtasks MedNLP de-identification task MedNLP complaint and diagnosis task