The representation of legal contracts
AI & Society - Special double issue on knowledge, elicitation, representation and application
A declarative approach to business rules in contracts: courteous logic programs in XML
Proceedings of the 1st ACM conference on Electronic commerce
Extending support for contracts in ebXML
ITVE '01 Proceedings of the workshop on Information technology for virtual enterprises
The use of bigrams to enhance text categorization
Information Processing and Management: an International Journal
A Frame Work for Modeling Electronic Contracts
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
An EREC framework for e-contract modeling, enactment and monitoring
Data & Knowledge Engineering - Special issue: Contract-driven coordination and collaboration in the internet context
A Feature-based Approach to Electronic Contracts
CEC-EEE '06 Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services
An Enterprise Electronic Contract Management System using Dual XML and Secure PDF Documents
EDOCW '06 Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops
Web service e-contract establishment using features
BPM'06 Proceedings of the 4th international conference on Business Process Management
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
A corpus of Australian contract language: description, profiling and analysis
Proceedings of the 13th International Conference on Artificial Intelligence and Law
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E-contracts begin as legal documents and end up as processes that help organizations abide by legal rules while fulfilling contract terms. As contracts are complex, their deployment is predominantly established and fulfilled with significant human involvement. One of the key difficulties with any kind of contract processing is the legal ambiguity, which makes it difficult to address any violation of the contract terms. Thus, there is a need to track clauses for the contract activities under execution and violation of clauses. This necessitates deriving clause patterns from e-contract documents and map to their respective activities for further monitoring and fulfillment of e-contracts during their enactment. In this paper, we present a classification approach to extract clause patterns from e-contract documents. This is a challenging task as activities and clauses are mostly derived from both legal and business process driven contract knowledge.