원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.10 No.7
2016.07
pp.307-318
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Automatic proofreading of judgment document can effectively overcome human factors and ensure the quality of proofreading. The outstanding work in this paper includes following two aspects: The first aspect is to proofread the mistakes of legal file name and legal provision reference by establishing the proofreading knowledge base of judgment document. The second aspect is to maximizing identify legal terminology and common name entities, then proofread the collocation mistakes between words, phrases and legalese by using Markov Model. The experiment results show that this method can basically meet the needs of the judgment documents proofreading.
목차
Abstract
1. Introduction
2. Error Types Analysis of Judgment Document and Our Working Idea
3. Error Proofreading for Legal Documents and Legal Provisions
3.1. Legal Document Reference Error Proofreading
3.2. Legal Provisions Reference Error Proofreading
4. Identification of Legal Terminologies and Proofreading of Collocation Error
4.1. Identification of Legal Terminologies based on CRF Model
4.2. Collocation Error Proofreading based on Markov Chain Model
5. Experiment
5.1. Experimental Data Sets
5.2. Experimental Result Analysis
6. Conclusion
Acknowledgements
References
1. Introduction
2. Error Types Analysis of Judgment Document and Our Working Idea
3. Error Proofreading for Legal Documents and Legal Provisions
3.1. Legal Document Reference Error Proofreading
3.2. Legal Provisions Reference Error Proofreading
4. Identification of Legal Terminologies and Proofreading of Collocation Error
4.1. Identification of Legal Terminologies based on CRF Model
4.2. Collocation Error Proofreading based on Markov Chain Model
5. Experiment
5.1. Experimental Data Sets
5.2. Experimental Result Analysis
6. Conclusion
Acknowledgements
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보