The statistical approach to biological event extraction using Markov’s method

Wen-Juan Hou, Bamfa Ceesay

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

Gene Regulation Network (GRN) is a graphical representation of the relationship for a collection of regulators that interact with each other and with other substances in the cell to govern the gene expression levels of mRNA and proteins. In this study, we examine the extraction of GRN from literatures using a statistical method. Markovian logic has been used in the natural language processing domain extensively such as in the field of speech recognition. This paper presents an event extraction approach using the Markov’s method and the logical predicates. An event extraction task is modeled into a Markov’s model using the logical predicates and a set of weighted first ordered formulae that defines a distribution of events over a set of ground atoms of the predicates that is specified using the training and development data. The experimental results has a state-of-the-art F-score comparable 2013 BioNLP shared task and gets 81 % precision in forming the gene regulation network. It shows we have a good performance in solving this problem.

原文英語
主出版物標題Trends in Applied Knowledge-Based Systems and Data Science - 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Proceedings
編輯Moonis Ali, Hamido Fujita, Jun Sasaki, Masaki Kurematsu, Ali Selamat
發行者Springer Verlag
頁面207-216
頁數10
ISBN(列印)9783319420066
DOIs
出版狀態已發佈 - 2016 一月 1
事件29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016 - Morioka, 日本
持續時間: 2016 八月 22016 八月 4

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9799
ISSN(列印)0302-9743
ISSN(電子)1611-3349

其他

其他29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016
國家日本
城市Morioka
期間16/8/216/8/4

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Hou, W-J., & Ceesay, B. (2016). The statistical approach to biological event extraction using Markov’s method. 於 M. Ali, H. Fujita, J. Sasaki, M. Kurematsu, & A. Selamat (編輯), Trends in Applied Knowledge-Based Systems and Data Science - 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Proceedings (頁 207-216). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9799). Springer Verlag. https://doi.org/10.1007/978-3-319-42007-3_18