Unsupervised sparse vector densification for short text similarity

NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Volumn , Issue , 2015, Pages 1275-1280

  Song, Yangqiu ^a   Roth, Dan ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SEMANTICS;

DENSIFICATION MECHANISMS; EXPLICIT SEMANTIC ANALYSIS; MANY TO MANY; MEASURING SIMILARITIES; ONE-TO-ONE MAPPINGS; SIMILARITY MEASURE; SPARSE REPRESENTATION; SPARSE VECTORS;

COMPUTATIONAL LINGUISTICS;

EID: 84959902045     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/n15-1138     Document Type: Conference Paper

References (24)

1. M. Chang, L. Ratinov, D. Roth, and V. Srikumar. 2008. Importance of semantic representation: Dataless classification. In AAAI, pages 830-835.
2. R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P. P. Kuksa. 2011. Natural language processing (almost) from scratch. J. Mach. Learn. Res., 12:2493-2537.
3. E. Gabrilovich and S. Markovitch. 2006. Overcoming the brittleness bottleneck using Wikipedia: Enhancing text categorization with encyclopedic knowledge. In AAAI, pages 1301-1306.
4. E. Gabrilovich and S. Markovitch. 2007. Computing semantic relatedness using Wikipedia-based explicit semantic analysis. In IJCAI, pages 1606-1611.
5. A. Gretton, K. M. Borgwardt, M. J. Rasch, B. Schölkopf, and A. Smola. 2012. A kernel two-sample test. J. Mach. Learn. Res., 13:723-773.
6. K. M. Hermann and P. Blunsom. 2014. Multilingual models for compositional distributed semantics. In ACL, pages 58-68.
7. B. Hu, Z. Lu, H. Li, and Q. Chen. 2014. Convolutional neural network architectures for matching natural language sentences. In NIPS, pages 2042-2050.
8. N. Kalchbrenner, E. Grefenstette, and P. Blunsom. 2014. A convolutional neural network for modelling sentences. In ACL, pages 655-665.
9. Q. V. Le and T. Mikolov. 2014. Distributed representations of sentences and documents. In ICML, pages 1188-1196.
10. M. D. Lee, B. Pincombe, and M.Welsh. 2005. An empirical evaluation of models of text document similarity. In CogSci, pages 1254-1259.
11. Z. Lu and H. Li. 2013. A deep architecture for matching short texts. In NIPS, pages 1367-1375.
12. T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. 2013a. Distributed representations of words and phrases and their compositionality. In NIPS, pages 3111-3119.
13. T. Mikolov, W.-t. Yih, and G. Zweig. 2013b. Linguistic regularities in continuous space word representations. In HLT-NAACL, pages 746-751.
14. C. H. Papadimitriou and K. Steiglitz. 1982. Combinatorial Optimization: Algorithm und Complexity. Englewood Cliffs, NJ: Prentice-Hall.
15. A. Passos, V. Kumar, and A. McCallum. 2014. Lexicon infused phrase embeddings for named entity resolution. In CoNLL, pages 78-86.
16. J. Pennington, R. Socher, and C. D. Manning. 2014. Glove: Global vectors for word representation. In EMNLP, pages 1532-1543.
17. L. Ratinov and D. Roth. 2009. Design challenges and misconceptions in named entity recognition. In CoNLL, pages 147-155.
18. A. J. Smola, A. Gretton, L. Song, and B. Schölkopf. 2007. A hilbert space embedding for distributions. In ALT, pages 13-31.
19. Y. Song and D. Roth. 2014. On dataless hierarchical text classification. In AAAI, pages 1579-1585.
20. I. Sutskever, O. Vinyals, and Q. V. Le. 2014. Sequence to sequence learning with neural networks. In NIPS, pages 3104-3112.
21. J. Turian, L. Ratinov, and Y. Bengio. 2010. Word representations: A simple and general method for semisupervised learning. In ACL, pages 384-394.
22. L. Xiong, B. Póczos, and J. G. Schneider. 2013. Efficient learning on point sets. In ICDM, pages 847-856.
23. W. Yih, M. Chang, C. Meek, and A. Pastusiak. 2013. Question answering using enhanced lexical semantic models. In ACL, pages 1744-1753.
24. Y. Zhao, Z. Liu, and M. Sun. 2015. Phrase type sensitive tensor indexing model for semantic composition. In AAAI.