Paper: Nonlinear Evidence Fusion and Propagation for Hyponymy Relation Mining

ACL ID P11-1116
Title Nonlinear Evidence Fusion and Propagation for Hyponymy Relation Mining
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

This paper focuses on mining the hypon- ymy (or is-a) relation from large-scale, open-domain web documents. A nonlinear probabilistic model is exploited to model the correlation between sentences in the aggregation of pattern matching results. Based on the model, we design a set of ev- idence combination and propagation algo- rithms. These significantly improve the result quality of existing approaches. Ex- perimental results conducted on 500 mil- lion web pages and hypernym labels for 300 terms show over 20% performance improvement in terms of P@5, MAP and R-Precision.