The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Dependency-Based Word Embeddings
Open accessAbstract
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.
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Cites
Efficient Estimation of Word Representations in Vector Space
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1301.3781 · Cited by 26,568
Distributed Representations of Words and Phrases and their Compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1310.4546 · Cited by 24,533
A unified architecture for natural language processing: deep neural networks with multitask learning
Collobert, R., & Weston, J. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08 · doi:10.1145/1390156.1390177 · Cited by 5,058
Natural Language Processing (almost) from Scratch
Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., & Kuksa, P. P. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1103.0398 · Cited by 4,962
Harris, Z. S. (1954) · WORD · doi:10.1080/00437956.1954.11659520 · Cited by 4,807
Linguistic Regularities in Continuous Space Word Representations
Mikolov, T., Yih, W.-T., & Zweig, G. (2013) · Cited by 2,912
(1992) · doi:10.5555/176313.176316 · Cited by 2,892
From Frequency to Meaning: Vector Space Models of Semantics
Turney, P. D., & Pantel, P. (2010) · Journal of Artificial Intelligence Research · doi:10.1613/jair.2934 · Cited by 2,866
Feature-rich part-of-speech tagging with a cyclic dependency network
Toutanova, K., Klein, D., Manning, C. D., & Singer, Y. (2003) · Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - NAACL '03 · doi:10.3115/1073445.1073478 · Cited by 2,844
A neural probabilistic language model
BengioYoshua, DucharmeRéjean, VincentPascal, & JanvinChristian (2003) · Journal of Machine Learning Research · doi:10.5555/944919.944966 · Cited by 2,644
Cited by
context2vec: Learning Generic Context Embedding with Bidirectional LSTM
Melamud, O., Goldberger, J., & Dagan, I. (2016) · Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning · doi:10.18653/v1/k16-1006 · Cited by 513
Reimers, N., & Gurevych, I. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d17-1035 · Cited by 463
Two/Too Simple Adaptations of Word2Vec for Syntax Problems
Ling, W., Dyer, C., Black, A. W., & Trancoso, I. (2015) · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · doi:10.3115/v1/n15-1142 · Cited by 384
A comparison of word embeddings for the biomedical natural language processing
Wang, Y., Liu, S., Afzal, N., Rastegar-Mojarad, M., Wang, L., Shen, F., Kingsbury, P., & Liu, H. (2018) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2018.09.008 · Cited by 370
From Word To Sense Embeddings: A Survey on Vector Representations of Meaning
Camacho-Collados, J., & Pilehvar, M. T. (2018) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.11259 · Cited by 363
Metadata
- Authors
- Levy, O., & Goldberg, Y.
- Venue
- Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Published
- 2014
- Pages
- 302-308
- OpenAlex
- W2251771443
- Cited by
- 1,047
- References
- 32
- FWCI
- 58.50
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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- Levy, O., & Goldberg, Y. (2014). Dependency-Based Word Embeddings. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). https://doi.org/10.3115/v1/p14-2050
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