Multi-Document Relationship Fusion via Constraints on Probabilistic Databases

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.

• Type: Conference
• Year: 2007
• Where: NAACL
• Authors: Gideon Mann
• Keywords: Computational Linguistics, Multi-document Fusion Baseline, Multi-document Relationship Extraction, Multiple Relationships, NAACL 2007