Medical Information Extracting System by Bootstrapping of NTTDRDH at NTCIR-10 MedNLP Task

Abstract

We participated in a complaint and diagnosis task of MedNLP in NTCIR10. We extracted words of complaint/diagnosis by using a hybrid approach with bootstrapping and pattern matching with a medical term dictionary. It was possible that part of the complaint’s or diagnosis’s expressions are present in the extracted words. Therefore, our system concatenated the extracted words and their surrounding words by heuristic rules and determined the final complaint’s or diagnosis’s words. And our system estimated the modality attribute of the extracted complaint/diagnosis by heuristic rules also.

Extracted Key Phrases

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Cite this paper

@inproceedings{Nomura2013MedicalIE, title={Medical Information Extracting System by Bootstrapping of NTTDRDH at NTCIR-10 MedNLP Task}, author={Yuji Nomura and Takashi Suenaga and Daisuke Satoh and Megumi Ohki and Toru Takaki}, booktitle={NTCIR}, year={2013} }