%0 Conference Paper %1 roller2018hearst %A Roller, Stephen %A Kiela, Douwe %A Nickel, Maximilian %B ACL (2) %D 2018 %I Association for Computational Linguistics %K embeddings hearst hierachical relations %P 358-363 %T Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora %U http://arxiv.org/abs/1806.03191 %X Methods for unsupervised hypernym detection may broadly be categorized according to two paradigms: pattern-based and distributional methods. In this paper, we study the performance of both approaches on several hypernymy tasks and find that simple pattern-based methods consistently outperform distributional methods on common benchmark datasets. Our results show that pattern-based models provide important contextual constraints which are not yet captured in distributional methods.

@inproceedings{roller2018hearst, abstract = {Methods for unsupervised hypernym detection may broadly be categorized according to two paradigms: pattern-based and distributional methods. In this paper, we study the performance of both approaches on several hypernymy tasks and find that simple pattern-based methods consistently outperform distributional methods on common benchmark datasets. Our results show that pattern-based models provide important contextual constraints which are not yet captured in distributional methods.}, added-at = {2018-10-18T21:14:47.000+0200}, author = {Roller, Stephen and Kiela, Douwe and Nickel, Maximilian}, biburl = {https://www.bibsonomy.org/bibtex/25ea3c9b7c2187f477c9c8056b906c5fb/thoni}, booktitle = {ACL (2)}, interhash = {ed7de4b70108ce9124ef778e5c95539e}, intrahash = {5ea3c9b7c2187f477c9c8056b906c5fb}, keywords = {embeddings hearst hierachical relations}, pages = {358-363}, publisher = {Association for Computational Linguistics}, timestamp = {2018-10-25T01:25:29.000+0200}, title = {Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora}, url = {http://arxiv.org/abs/1806.03191}, year = 2018 }