Paper: An Integrated Probabilistic and Logic Approach to Encyclopedia Relation Extraction with Multiple Features

ACL ID C08-1134
Title An Integrated Probabilistic and Logic Approach to Encyclopedia Relation Extraction with Multiple Features
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

We propose a new integrated approach based on Markov logic networks (MLNs), an effective com- bination of probabilistic graphical models and first- order logic for statistical relational learning, to ex- tracting relations between entities in encyclopedic articles from Wikipedia. The MLNs model en- tity relations in a unified undirected graph col- lectively using multiple features, including contex- tual, morphological, syntactic, semantic as well as Wikipedia characteristic features which can cap- ture the essential characteristics of relation extrac- tion task. This model makes simultaneous statisti- cal judgments about the relations for a set of related entities. More importantly, implicit relations can also be identified easily. Our experimental results showed that, this integrated pro...