Compound embedding features for semi-supervised learning

NAACL HLT 2013 - 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference

Volumn , Issue , 2013, Pages 563-568

  Yu, Mo ^a   Zhao, Tiejun ^a   Dong, Daxiang ^b   Tian, Hao ^b   Yu, Dianhai ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b BAIDU INC   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EMBEDDINGS; SUPERVISED LEARNING;

COMPOUND FEATURES; DATA SPARSITY PROBLEMS; DISCRIMINATIVE METHODS; EMBEDDINGS; LANGUAGE MODEL; LARGE AMOUNTS; LEXICAL ITEMS; SEMI-SUPERVISED LEARNING; UNLABELED DATA; WORD REPRESENTATIONS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84923920412     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Bengio, Y., Ducharme, R., Vincent, P., and Jauvin, C. (2003). A neural probabilistic language models. The Journal of Machine Learning Research, 3:1137-1155.
2. Collobert, R. And Weston, J. (2008). A unified architecture for natural language processing: Deep neural networks with multitask learning. In Proceedings of the 25th international conference on Machine learning, pages 160-167. ACM.
3. Finkel, J., Grenager, T., and Manning, C. (2005). Incorporating non-local information into information extraction systems by gibbs sampling. In Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, pages 363-370. Association for Computational Linguistics.
4. Huang, F. And Yates, A. (2009). Distributional representations for handling sparsity in supervised sequence labeling. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1-Volume 1, pages 495-503. Association for Computational Linguistics.
5. Koo, T., Carreras, X., and Collins, M. (2008). Simple semi-supervised dependency parsing. In Proceedings of Association for Computational Linguistics, pages 595-603. Association for Computational Linguistics.
6. Mnih, A. And Hinton, G. E. (2009). A scalable hierarchical distributed language model. Advances in neural information processing systems, 21:1081-1088.
7. Nivre, J., Hall, J., Kübler, S., McDonald, R., Nilsson, J., Riedel, S., and Yuret, D. (2007). The CoNLL 2007 shared task on dependency parsing. In Proceedings of the CoNLL Shared Task Session of EMNLPCoNLL, pages 915-932.
8. Okazaki, N. (2007). Crfsuite: A fast implementation of conditional random fields (crfs). URL http://www. chokkan. org/software/crfsuite.
9. Schwenk, H. (2007). Continuous space language models. Computer Speech & Language, 21(3):492-518.
10. Sculley, D. (2010). Web-scale k-means clustering. In Proceedings of the 19th international conference on World Wide Web, pages 1177-1178. ACM.
11. Socher, R., Huang, E., Pennington, J., Ng, A., and Manning, C. (2011a). Dynamic pooling and unfolding recursive auto-encoders for paraphrase detection. Advances in Neural Information Processing Systems, 24:801-809.
12. Socher, R., Pennington, J., Huang, E., Ng, A., and Manning, C. (2011b). Semi-supervised recursive auto-encoders for predicting sentiment distributions. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 151-161. Association for Computational Linguistics.
13. Täckström, O., McDonald, R., and Uszkoreit, J. (2012). Cross-lingual word clusters for direct transfer of linguistic structure. In Proceedings of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 477-487, Montréal, Canada, June 3-8, 2012.
14. Turian, J., Ratinov, L., and Bengio, Y. (2010). Word representations: A simple and general method for semi-supervised learning. In Annual Meeting-Association For Computational Linguistics. Urbana, 51:61801.
15. Xu, Z., Chen, M., Weinberger, K., and Sha, F. An alternative text representation to TF-IDF and Bag-of-Words. In Proceedings of 21st ACM Conf. of Information and Knowledge Management (CIKM), Hawaii, 2012.
16. Xue, N., Xia, F., Chiou, F., and Palmer, M. (2005). The penn chinese treebank: Phrase structure annotation of a large corpus. Natural Language Engineering, 11(2):207.