The Fudan Participation in the 2015 BioASQ Challenge: Large-scale Biomedical Semantic Indexing and Question Answering
Yanchun Zhang, Shi-Guo Peng, Ronghui You, Zongneng Xie, B Wang, Shanfeng Zhu · Victoria University Research Repository (Victoria University) · 2015
This article describes the participation of Fudan team in the 2015 BioASQ challenge.The challenge consists of two tasks, largescale biomedical semantic indexing (task 3a) and biomedical question answering (task 3b).In task 3a, our method, MeSHLabeler, achieved the first place in all 15 weeks of three batches.Based on 3215 annotated citations (June 6, 2015) out of all 4435 citations in the official test set (batch 1, week 2), our submission best achieved 0.6194 in flat Micro F-measure.This is 0.0576(10.25%)higher than 0.5618, obtained by the official NLM solution Medical Text Indexer (MTI).Task 3b includes two phases.Given the questions raised by a team of biomedical experts from around Europe, the main task of phase A is to find relevant documents, snippets, concepts and RDF triples, while the main task of phase B is to provide exact and ideal answers.In the phase A of task 3b, our submission, fdu, achieved the first place in both document and snippet retrieval in batch 5 (June 6, 2015).