@inproceedings{942908ae3a6542b69c78dbca7ec5f1bf,
title = "Dependency-based word embeddings",
abstract = "While continuous word embeddings are gaining popularity, current models are based solely on linear contexts. In this work, we generalize the skip-gram model with negative sampling introduced by Mikolov et al. to include arbitrary contexts. In particular, we perform experiments with dependency-based contexts, and show that they produce markedly different embeddings. The dependencybased embeddings are less topical and exhibit more functional similarity than the original skip-gram embeddings.",
author = "Omer Levy and Yoav Goldberg",
year = "2014",
doi = "10.3115/v1/p14-2050",
language = "אנגלית",
isbn = "9781937284732",
series = "52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "302--308",
booktitle = "Long Papers",
address = "ארצות הברית",
note = "52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 ; Conference date: 22-06-2014 Through 27-06-2014",
}