Publication
Learning Relation Extraction Grammars with Minimal Human Intervention: Strategy, Results, Insights and Plans
Hans Uszkoreit
In: Computational Linguistics and Intelligent Text Processing - 12th International Conference, CICLing 2011, Proceedings. International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2011), February 20-26, Tokyo, Japan, Pages 106-126, Lecture Notes in Computer Science (LNTCS), Vol. 6609, Springer, 2011.
Abstract
The paper describes the operation and evolution of a linguistically
oriented framework for the minimally supervised learning of relation extraction
grammars from textual data. Cornerstones of the approach are the acquisition of
extraction rules from parsing results, the utilization of closed-world semantic
seeds and a filtering of rules and instances by confidence estimation. By a systematic
walk through the major challenges for this approach the obtained results
and insights are summarized. Open problems are addressed and strategies for
solving these are outlined.