Improving Hypernymy Detection with an Integrated Path-based and Distributional Method

Vered Shwartz, Yoav Goldberg, Ido Dagan
2016 Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
Detecting hypernymy relations is a key task in NLP, which is addressed in the literature using two complementary approaches. Distributional methods, whose supervised variants are the current best performers, and path-based methods, which received less research attention. We suggest an improved path-based algorithm, in which the dependency paths are encoded using a recurrent neural network, that achieves results comparable to distributional methods. We then extend the approach to integrate both
more » ... athbased and distributional signals, significantly improving upon the state-of-the-art on this task.
doi:10.18653/v1/p16-1226 dblp:conf/acl/ShwartzGD16 fatcat:yljga7p5t5borfg5bneh4s25bi