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Performance Improvement of Drug Effects Extraction System from Japanese Blogs

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/63960

Title: Performance Improvement of Drug Effects Extraction System from Japanese Blogs
Authors: Kitajima, Shiho Browse this author
Rzepka, Rafal Browse this author →KAKEN DB
Araki, Kenji Browse this author →KAKEN DB
Keywords: Text mining
Opinion mining
Information extraction
Medication usage information
Issue Date: Sep-2013
Publisher: IEEE
Journal Title: 2013 IEEE Seventh International Conference on Semantic Computing, Irvine, CA, USA, September 16-18, 2013
Start Page: 383
End Page: 386
Publisher DOI: 10.1109/ICSC.2013.71
Abstract: Information disclosed to the public by patients is very important for people who are suffering from same illness because such information can be a source of knowledge and encouragement. Our aim is to make a system that extracts, organizes and visually represents information from patients' blogs. As the first step, the purpose of this paper is to extract descriptions of the effects caused by taking drugs as a triplet of expressions - drug name, object of change, and its effect - from illness survival blogs. However, conventional extraction methods are not suitable since these blogs are written in free natural language. Therefore, this paper proposes a method to extract the triplets using specific clue words and parsing the results. An evaluation experiment confirmed that medication usage information can be extracted with high accuracy using our proposed method, in comparison to existing methods. Moreover, recall was improved by combining our proposed method and a baseline system.
Conference Name: International Conference on Semantic Computing
Conference Sequence: 7
Conference Place: Irvine, CA
Rights: © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Type: proceedings (author version)
URI: http://hdl.handle.net/2115/63960
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: RZEPKA Rafal

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