Automatic rule refinement for information extraction
Proceedings of the VLDB Endowment
Attribute and object selection queries on objects with probabilistic attributes
ACM Transactions on Database Systems (TODS)
Provenance-based dictionary refinement in information extraction
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
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We present an information extraction system for automated information extraction from free text. The system, XAR, available open-source to the community, abstracts an extraction application developer from low level text processing details, permitting developing applications with high-level extraction rules. The system also incorporates semantic information in the form of integrity constraints to improve the quality of the extraction. We describe the XAR system and present a summary of experimental results demonstrating the effectiveness of our approach.