https://scholars.lib.ntu.edu.tw/handle/123456789/146984
標題: | BelSmile: a biomedical semantic role labeling approach for extracting biological expression language from text | 作者: | Lai, Po-Ting Lo, Yu-Yan Huang, Ming-Siang Hsiao, Yu-Cheng Tsai, Richard Tzong-Han |
公開日期: | 2016 | 起(迄)頁: | baw064 | 來源出版物: | Database | 摘要: | Biological expression language (BEL) is one of the most popular languages to represent the causal and correlative relationships among biological events. Automatically extracting and representing biomedical events using BEL can help biologists quickly survey and understand relevant literature. Recently, many researchers have shown interest in biomedical event extraction. However, the task is still a challenge for current systems because of the complexity of integrating different information extraction tasks such as named entity recognition (NER), named entity normalization (NEN) and relation extraction into a single system. In this study, we introduce our BelSmile system, which uses a semantic-role-labeling (SRL)-based approach to extract the NEs and events for BEL statements. BelSmile combines our previous NER, NEN and SRL systems. We evaluate BelSmile using the BioCreative V BEL task dataset. Our system achieved an F-score of 27.8%, similar to 7% higher than the top BioCreative V system. The three main contributions of this study are (i) an effective pipeline approach to extract BEL statements, and (ii) a syntactic-based labeler to extract subject-verb-object tuples. We also implement a web-based version of BelSmile (iii) that is publicly available at iisrserv. csie. ncu. edu. tw/belsmile. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/280922 | DOI: | 10.1093/database/baw064 |
顯示於: | 醫學檢驗暨生物技術學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。