Semantic clustering and convolutional neural network for short text categorization

ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference - Short Papers

Volumn , Issue , 2015, Pages 352-357

  Wang, Peng ^a   Xu, Jiaming ^a   Xu, Bo ^a   Liu, Cheng Lin ^a   Zhang, Heng ^a   Wang, Fangyuan ^a   Hao, Hongwei ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; COMPUTATIONAL LINGUISTICS; CONVOLUTION; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTIC WEB; SEMANTICS; TEXT PROCESSING;

DATA SPARSITY; EXTERNAL KNOWLEDGE; MAX-POOLING; SEMANTIC CLUSTERING; SEMANTIC UNITS; SHORT TEXTS;

CONVOLUTIONAL NEURAL NETWORKS;

EID: 85016487622     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p15-2058     Document Type: Conference Paper

References (27)

1. Ainur Yessenalina and Claire Cardie. Compositional matrix-space models for sentiment analysis. In EMNLP, pages 172-182. Association for Computational Linguistics, 2011.
2. Alex Rodriguez and Alessandro Laio. Clustering by fast search and find of density peaks. Science, 344(6191):1492-1496, 2014.
3. Andriy Mnih and Yee Whye Teh. A fast and simple algorithm for training neural probabilistic language models. arXiv preprint arXiv: 1206.6426, 2012.
4. Bharath Sriram, Dave Fuhry, Engin Demir, Hakan Ferhatosmanoglu, and Murat Demirbas. Short text classification in twitter to improve information filtering. In SIGIR, pages 841-842. ACM, 2010.
5. Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, and Jun. Zhao. Relation classification via convolutional deep neural network. In Proceedings of COL-1NG, pages 2335-2344, 2014.
6. David M Blei, Andrew Y Ng, and Michael I Jordan. Latent dirichlet allocation. the Journal of machine Learning research, 3:993-1022, 2003.
7. Geoffrey E Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R Salakhutdinov. Improving neural networks by preventing coadaptation of feature detectors. arXiv preprint arX-iv:1207.0580, 2012.
8. Jeff Mitchell and Mirella Lapata. Composition in distributional models of semantics. Cognitive science, 34(8):1388-1429, 2010.
9. John Duchi, Elad Hazan, and Yoram Singer. Adaptive subgradient methods for online learning and stochastic optimization. The Journal of Machine Learning Research, 12:2121-2159, 2011.
10. Joseph Turian, Lev Ratinov, and Yoshua Bengio. Word representations: a simple and general method for semi-supervised learning. In ACL, pages 384-394. Association for Computational Linguistics, 2010.
11. Mehran Sahami and Timothy D Heilman. A web-based kernel function for measuring the similarity of short text snippets. In Proceedings of the 15th international conference on World Wide Web, pages 377-386. AcM, 2006.
12. Mengen Chen, Xiaoming Jin, and Dou Shen. Short text classification improved by learning multigranularity topics. In IJCAI, pages 1776-1781. Citeseer, 2011.
13. Nal Kalchbrenner, Edward Grefenstette, and Phil Blunsom. A convolutional neural network for modelling sentences. arXiv preprint arXiv:1404.2188, 2014.
14. Quoc V Le and Tomas Mikolov. Distributed representations of sentences and documents. arXiv preprint arXiv:1405.4053, 2014.
15. Richard Socher, Alex Perelygin, Jean Y Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, and Christopher Potts. Recursive deep models for semantic compositionality over a sentiment treebank. In EMNLP, volume 1631, page 1642. Citeseer, 2013.
16. Ronan Collobert, Jason Weston, Leon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. Natural language processing (almost) from scratch. The Journal of Machine Learning Research, 12:2493-2537, 2011.
17. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient estimation of word representations in vector space. arXiv preprint arXiv: 1301.3781, 2013.
18. Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. Distributed representations of words and phrases and their compositionality. In Advances in Neural Information Processing Systems, pages 3111-3119, 2013.
19. Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. Linguistic regularities in continuous space word representations. In HLT-NAACL, pages 746-751, 2013.
20. Xiaohui Yan, Jiafeng Guo, Yanyan Lan, and Xueqi Cheng. A biterm topic model for short texts. In WWW, pages 1445-1456. International World Wide Web Conferences Steering Committee, 2013.
21. Xin Li and Dan Roth. Learning question classifiers. In Proceedings of the 19th international conference on Computational linguistics-Volume 1, pages 1-7. Association for Computational Linguistics, 2002.
22. Xuan-Hieu Phan, Le-Minh Nguyen, and Susumu Horiguchi. Learning to classify short and sparse text & web with hidden topics from large-scale data collections. In Proceedings of the 17th international conference on World Wide Web, pages 91-100. ACM, 2008.
23. Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
24. Yoon Kim. Convolutional neural networks for sentence classification. arXiv preprint arXiv: 1408.5882, 2014.
25. Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Janvin. A neural probabilistic language model. The Journal of Machine Learning Research, 3:1137-1155, 2003.
26. Joao Silva, Luísa Coheur, Ana Cristina Mendes, and Andreas Wichert. From symbolic to sub-symbolic information in question classification. Artificial Intelligence Review, 35(2):137-154, 2011.
27. Rie Johnson and Tong Zhang. Effective use of word order for text categorization with convolutional neural networks. arXiv preprint arXiv: 1412.1058, 2014.