“2013-12-3”版本间的差异
来自cslt Wiki
（以“Continuous Space Language Model(NNLM) *slider [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f3/Cslm-cslt.pdf]”为内容创建页面） |
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Continuous Space Language Model(NNLM) | Continuous Space Language Model(NNLM) | ||
*slider [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f3/Cslm-cslt.pdf] | *slider [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f3/Cslm-cslt.pdf] | ||
| + | * related paper | ||
| + | :*[1] Holger Schwenk; CSLM - A modular Open-Source Continuous Space Language Modeling Toolkit, in Interspeech, August 2013. | ||
| + | :* [2] Y. Bengio, and R. Ducharme. A neural probabilistic language model. In Neural Information Processing Systems, volume 13, pages 932-938. 2001 | ||
| + | :* [3] Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient Estimation of Word Representations in Vector Space. In Proceedings of Workshop at ICLR, 2013. | ||
| + | :* [4]Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed Representations of Words and Phrases and their Compositionality. In Proceedings of NIPS, 2013. | ||
| + | :* [5]Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. Linguistic Regularities in Continuous Space Word Representations. In Proceedings of NAACL HLT, 2013. | ||
| + | :* [6] ngram smoothing http://nlp.stanford.edu/~wcmac/papers/20050421-smoothing-tutorial.pdf | ||
| + | :* Mikolov, Tomas, Wen-tau Yih, and Geoffrey Zweig. Linguistic regularities in continuous space word representations. Proceedings of NAACL-HLT. 2013 | ||
| + | :*[7] Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu and Pavel Kuksa.Natural Language Processing (Almost) from Scratch. Journal of Machine Learning Research (JMLR), 12:2493-2537, 2011. | ||
| + | :* [8] Andriy Mnih & Geoffrey Hinton. Three new graphical models for statistical language modelling. International Conference on Machine Learning (ICML). 2007. | ||
| + | :* [9] Andriy Mnih & Geoffrey Hinton. A scalable hierarchical distributed language model. The Conference on Neural Information Processing Systems (NIPS) (pp. 1081–1088). 2008. | ||
| + | :* [10] Mikolov Tomáš. Statistical Language Models based on Neural Networks. PhD thesis, Brno University of Technology. 2012. | ||
| + | :* [11] Turian, Joseph, Lev Ratinov, and Yoshua Bengio. Word representations: a simple and general method for semi-supervised learning. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL). 2010. | ||
2014年10月15日 (三) 04:36的最后版本
Continuous Space Language Model(NNLM)
- slider [1]
- related paper
- [1] Holger Schwenk; CSLM - A modular Open-Source Continuous Space Language Modeling Toolkit, in Interspeech, August 2013.
- [2] Y. Bengio, and R. Ducharme. A neural probabilistic language model. In Neural Information Processing Systems, volume 13, pages 932-938. 2001
- [3] Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient Estimation of Word Representations in Vector Space. In Proceedings of Workshop at ICLR, 2013.
- [4]Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed Representations of Words and Phrases and their Compositionality. In Proceedings of NIPS, 2013.
- [5]Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. Linguistic Regularities in Continuous Space Word Representations. In Proceedings of NAACL HLT, 2013.
- [6] ngram smoothing http://nlp.stanford.edu/~wcmac/papers/20050421-smoothing-tutorial.pdf
- Mikolov, Tomas, Wen-tau Yih, and Geoffrey Zweig. Linguistic regularities in continuous space word representations. Proceedings of NAACL-HLT. 2013
- [7] Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu and Pavel Kuksa.Natural Language Processing (Almost) from Scratch. Journal of Machine Learning Research (JMLR), 12:2493-2537, 2011.
- [8] Andriy Mnih & Geoffrey Hinton. Three new graphical models for statistical language modelling. International Conference on Machine Learning (ICML). 2007.
- [9] Andriy Mnih & Geoffrey Hinton. A scalable hierarchical distributed language model. The Conference on Neural Information Processing Systems (NIPS) (pp. 1081–1088). 2008.
- [10] Mikolov Tomáš. Statistical Language Models based on Neural Networks. PhD thesis, Brno University of Technology. 2012.
- [11] Turian, Joseph, Lev Ratinov, and Yoshua Bengio. Word representations: a simple and general method for semi-supervised learning. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL). 2010.
