The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Two/Too Simple Adaptations of Word2Vec for Syntax Problems
Open accessAbstract
Wang Ling, Chris Dyer, Alan W. Black, Isabel Trancoso. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2015.
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Citations
Cites
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
Sequence to Sequence Learning with Neural Networks
Sutskever, I., Vinyals, O., & Le, Q. V. (2014) · arXiv · doi:10.48550/arxiv.1409.3215 · Cited by 17,766
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
Why Does Unsupervised Pre-training Help Deep Learning?
Erhan, D., Bengio, Y., Courville, A. C., Manzagol, P.-A., Vincent, P., & Samy Bengio, A. (2010) · Cited by 2,178
(2010) · Cited by 1,906
A Fast and Accurate Dependency Parser using Neural Networks
Chen, D., & Manning, C. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1082 · Cited by 1,795
word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
Goldberg, Y., & Levy, O. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1402.3722 · Cited by 1,245
Recurrent Continuous Translation Models
Kalchbrenner, N., & Blunsom, P. (2013) · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d13-1176 · Cited by 1,232
Improving Word Representations via Global Context and Multiple Word Prototypes
Huang, E., Socher, R., Manning, C. D., & Ng, A. Y. (2012) · Cited by 1,073
Dependency-Based Word Embeddings
Levy, O., & Goldberg, Y. (2014) · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · doi:10.3115/v1/p14-2050 · Cited by 1,047
Cited by
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Marcheggiani, D., & Titov, I. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d17-1159 · Cited by 907
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Dyer, C., Ballesteros, M., Ling, W., Matthews, A., & Smith, N. A. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · doi:10.3115/v1/p15-1033 · Cited by 553
Self-citationcontext2vec: 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
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Dyer, C., Ballesteros, M., Ling, W., Matthews, A., & Smith, N. A. (2015) · RECERCAT (Consorci de Serveis Universitaris de Catalunya) · doi:10.48550/arxiv.1505.08075 · Cited by 470
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Metadata
- Authors
- Ling, W., Dyer, C., Black, A. W., & Trancoso, I.
- Venue
- Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Published
- 2015
- Pages
- 1299-1304
- OpenAlex
- W2296194829
- Cited by
- 384
- References
- 21
- FWCI
- 29.92
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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- Ling, W., Dyer, C., Black, A. W., & Trancoso, I. (2015). Two/Too Simple Adaptations of Word2Vec for Syntax Problems. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. https://doi.org/10.3115/v1/n15-1142
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