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

Vered Shwartz, Yoav Goldberg, Ido Dagan
2016 arXiv   pre-print
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 » ... ath-based and distributional signals, significantly improving upon the state-of-the-art on this task.
arXiv:1603.06076v3 fatcat:zsn34iw3unckzkwqwys4lf6zue