Extracting and visualizing semantic relationships from chinese biomedical text (hal 99 - 107)
Qingliang Miao, Shu Zhang, Bo Zhang, Yao Meng, Hao Yu;
Proceeding of the 26th pasific asia conference on language information and computation (PACLIC 26) 7-10 November 2012
Lokasi : Perpustakaan Fakultas Ilmu Komputer
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In this paper, we study how to automatically extract and visualize food (or nutrition) and disease relationships from chinese publications of nutritional genomics. different from previous approaches that mostly apply handcrafted rules or co-occurrence patterns, we propose an approach using probabilistic models and domain knowledge. in particular, we first utilize encylopedia to construct a domain knowledge base, and then develop a sentence simplification model to simplify complicated sentences we meet. afterwards, we treat relation extraction issue as a sequence labeling task and adopt conditional random fields (CRFs) models to extract food and diseaserelationships. finally, these relationships are visualized. expeimental results on real-world datasets show that the proposed approach is effective.