DocumentCode :
3228625
Title :
A Natural Language Processing and Semantic-Based System for Contract Analysis
Author :
Dan Yang ; Leber, C. ; Tari, Luis ; Chandramouli, Aravind ; Crapo, Andrew ; Messmer, Richard ; Gustafson, Steven
Author_Institution :
GE Global Res., Niskayuna, NY, USA
fYear :
2013
fDate :
4-6 Nov. 2013
Firstpage :
707
Lastpage :
712
Abstract :
The Contract Search Tool is a semantic search platform that enables effective analysis of complex, long-term contractual service agreement for machines such as gas turbines. The approach we developed can effectively identify paragraphs of text for specific legal concepts. Then the key content can be decomposed and organized by the semantics model that captures key elements of the concepts and links to specific paragraphs. This is achieved by performing semantic text analysis to capture implicitly-stated provisions and the definitions of provisions, and relevant information is returned in an organized manner. The tool can be applied to increase productivity of legal review, share legal knowledge with service managers, and reduce legal risk in contract review process.
Keywords :
artificial intelligence; contracts; gas turbines; natural language processing; service industries; text analysis; contract analysis; contract review process; contract search tool; contractual service agreement; gas turbines; implicitly-stated provisions; legal concepts; legal knowledge sharing; legal review; legal risk reduction; natural language processing; semantic text analysis; semantic-based system; semantics model; text paragraphs identification; Artificial intelligence; Contracts; Data mining; Law; Semantics; Syntactics; Natural language processing; contract analysis; information extraction; information retrieval; semantics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International Conference on
Conference_Location :
Herndon, VA
ISSN :
1082-3409
Print_ISBN :
978-1-4799-2971-9
Type :
conf
DOI :
10.1109/ICTAI.2013.109
Filename :
6735320
Link To Document :
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