Multi-Document Relationship Fusion via Constraints on Probabilistic Databases
MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE
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Previous multi-document relationship extraction and fusion research has focused on single relationships. Shifting the focus to multiple relationships allows for the use of mutual constraints to aid extraction. This paper presents a fusion method which uses a probabilistic database model to pick relationships which violate few constraints. This model allows improved performance on constructing corporate succession timelines from multiple documents with respect to a multi-document fusion baseline.
- Statistics and Probability
- Computer Programming and Software