Generalizing latent semantic analysis

ICSC 2009 - 2009 IEEE International Conference on Semantic Computing

Volumn , Issue , 2009, Pages 40-46

  Olney, Andrew M ^a  

^a UNIVERSITY OF MEMPHIS   (United States)

Author keywords

Latent semantic analysis; n gram; Paraphrase; Vector space

Indexed keywords

DOCUMENT MATRICES; LATENT SEMANTIC ANALYSIS; MATRIX; N-GRAMS; WORD MEANING;

SECURITY OF DATA; SEMANTICS; SINGULAR VALUE DECOMPOSITION;

VECTOR SPACES;

EID: 73549085189     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSC.2009.89     Document Type: Conference Paper

References (41)

1. G. Miller, R. Beckwith, C. Fellbaum, D. Gross, and K. Miller, "Introduction to WordNet: An on-line lexical database*," International Journal of lexicography, vol. 3, no. 4, pp. 235-244, 1990.
2. C. D. Manning and H. Schütze, Foundations of Statistical Natural Language Processing. Cambridge, MA: MIT Press, 1999.
3. G. Salton, A. Wong, and C. S. Yang, "A vector space model for automatic indexing," Commun. ACM, vol. 18, no. 11, pp. 613-620, 1975.
4. S. C. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. A. Harshman, "Indexing by latent semantic analysis," Journal of the American Society of Information Science, vol. 41, no. 6, pp. 391-407, 1990. [Online]. Available: citeseer.ist.psu.edu/deerwester90indexing.html
5. S. Dumais, "Improving the retrieval of information from external sources," Behavior Research Methods, Instruments and Computers, vol. 23, no. 2, pp. 229-236, 1991.
6. T. K. Landauer and S. T. Dumais, "A solution to plato's problem: The latent semantic analysis theory of the acquisition, induction, and representation of knowledge," Psychological Review, vol. 104, pp. 211-240, 1997.
7. T. Landauer, D. McNamara, S. Dennis, and W. Kintsch, Eds., Handbook of latent semantic analysis. Lawrence Erlbaum, 2007.
8. M. W. Berry, Z. Drmac, and E. R. Jessup, "Matrices, vector spaces, and information retrieval," SIAM Rev., vol. 41, no. 2, pp. 335-362, 1999.
9. P. W. Foltz, W. Kintsch, and T. K. Landauer, "The measurement of textual coherence with latent semantic analysis," Discourse Processes, vol. 25, no. 2&3, pp. 285-308, 1998.
10. P. Foltz, S. Gilliam, and S. Kendall, "Supporting Content-Based Feedback in On-Line Writing Evaluation with LSA," Interactive Learning Environments, vol. 8, no. 2, pp. 111-127, 2000.
11. A. Graesser, P. Wiemer-Hastings, K. Wiemer-Hastings, D. Harter, T. Tutoring Research Group, and N. Person, "Using Latent Semantic Analysis to Evaluate the Contributions of Students in AutoTutor," Interactive Learning Environments, vol. 8, no. 2, pp. 129-147, 2000.
12. B. A. Olde, D. Franceschetti, A. Karnavat, and A. C. Graesser, "The right stuff: Do you need to sanitize your corpus when using Latent Semantic Analysis?" in Proceedings of the 24th Annual Meeting of the Cognitive Science Society. Mahwah, NJ: Erlbaum, 2002, pp. 708-713.
13. A. Olney and Z. Cai, "An orthonormal basis for entailment," in Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference. Menlo Park, CA: AAAI Press, May 15-17 2005, pp. 554-559.
14. -, "An orthonormal basis for topic segmentation in tutorial dialogue," in Proceedings of the Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing. Philadelphia: Association for Computational Linguistics, October 6-8 2005, pp. 971-978.
15. J. Weeds and D. Weir, "Co-occurrence retrieval: A flexible framework for lexical distributional similarity," Computational Linguistics, vol. 31, no. 4, pp. 439-475, 2005.
16. S. Pado and M. Lapata, "Dependency-based construction of semantic space models," Computational Linguistics, vol. 33, no. 2, pp. 161-199, 2007.
17. W. Lowe, "Towards a theory of semantic space," in Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society, 2001, pp. 576-581.
18. O. Pretzel, Error-Correcting Codes and Finite Fields. Oxford: Clarendon Press, 1998.
19. A. M. Olney, "Latent semantic grammar induction: Context, projectivity, and prior distributions," in Proceedings of TextGraphs-2: Graph-Based Algorithms for Natural Language Processing. Rochester, NY: Association for Computational Linguistics, April 2007, pp. 45-52.
20. Z. Harris, "Distributional structure," Word, vol. 10, pp. 140-162, 1954.
21. G. R. Kiss, "Grammatical word classes: A learning process and its motivation," in The Psychology of Learning and Motivation: Advances in Research and Theory, G. H. Bower, Ed. New York: Academic Press, 1973, ch. 1, pp. 1-41.
22. S. Finch and N. Chater, "Bootstrapping syntactic categories," in Proceedings of the 14th Annual Meeting of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates, July 29-August 1 1992, pp. 820-825.
23. M. Redington, N. Chater, and S. Finch, "Distributional information and the acquisition of linguistic categories: A statistical approach," in Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society. Hillsdale, NJ: Erlbaum, June 18-21 1993, pp. 848-853. [Online]. Available: citeseer.ist.psu.edu/redington93distributional.html
24. H. Schütze, "Part-of-speech induction from scratch," in Proceedings of the 31st Annual Meeting of the Association for Computational Linguistics. Philadelphia: Association for Computational Linguistics, June 22-26 1993, pp. 251-258.
25. -, "Distributional part-of-speech tagging," in Proceedings of the 7th European Association for Computational Linguistics Conference (EACL-95). Philadelphia: Association for Computational Linguistics, March 27-31 1995, pp. 141-149.
26. E. Brill, "A simple rule-based part of speech tagger," in Proceedings of the Third Conference on Applied Natural Language Processing. ACL, 1992.
27. A. Clark, "Unsupervised induction of stochastic context-free grammars using distributional clustering," in Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning, W. Daelemans and R. Zajac, Eds. Philadelphia: Association for Computational Linguistics, July 6-7 2001, pp. 105-112.
28. D. Klein and C. D. Manning, "A generative constituent-context model for improved grammar induction," in Proceedings of the 40th Annual Meeting of the ACL. Philadelphia: Association for Computational Linguistics, July 7-12 2002, pp. 128-135.
29. -, "Corpus-based induction of syntactic structure: Models of dependency and constituency," in Proceedings of the 42nd Annual Meeting of the ACL. Philadelphia: Association for Computational Linguistics, July 21-26 2004, pp. 478-485.
30. C. Burgess, K. Livesay, and K. Lund, "Explorations in context space: Words, sentences, discourse," Discourse Processes, vol. 25, no. 2&3, pp. 211-257, 1998.
31. T. Landauer, D. Laham, and P. Foltz, "Computer-based grading of the conceptual content of essays," 1998.
32. D. Klein, K. Toutanova, H. T. Ilhan, S. D. Kamvar, and C. D. Manning, "Combining heterogeneous classifiers for word-sense disambiguation," in WSD Workshop at ACL 40, 2002.
33. W. Dolan, C. Quirk, and C. Brockett., "Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources," in Proceedings of the International Conference on Computational Linguistics. Philadelphia: Association for Computational Linguistics, August 23-27 2004, pp. 350-356.
34. T. Chung, "20,000 leagues under the sea paraphrase corpus," May 14 2006, http://www.isi.edu/natural-language/people/20k1.txt http://www.isi.edu/natural-language/people/20k2.txt http://www.isi.edu/natural- language/people/goldstandard.txt.
35. A. M. Olney, "Unsupervised induction of latent semantic grammars with application to parsing," Ph.D. dissertation, University of Memphis, August 2006.
36. J. K. Cullum and R. A. Willoughby, Lanczos Algorithms for Large Symmetric Eigenvalue Computations, Volume 1: Theory. Philadelphia: Society for Industrial and Applied Mathematics, 2002.
37. T. Landauer, "LSA as a Theory of Meaning," in Handbook of latent semantic analysis, T. Landauer, D. McNamara, S. Dennis, and W. Kintsch, Eds. Lawrence Erlbaum, 2007, pp. 379-400.
38. M. Redington, N. Chater, and S. Finch, "Distributional information: A powerful cue for acquiring syntactic categories." Cognitive Science, vol. 22, no. 4, pp. 425-469, 1998.
39. S. C. Deerwester, S. T. Dumais, G. W. Furnas, R. A. Harshman, T. K. Landauer, K. E. Lochbaum, and L. A. Streeter, "Computer information retrieval using latent semantic structure," U. S. Patent No. 4,839,853, 1989.
40. P. Wiemer-Hastings and I. Zipitria, "Rules for syntax, vectors for semantics," in Proceedings of the 23rd Annual Conference of the Cognitive Science Society. Mahwah, NJ: Erlbaum, August 1-4 2001, pp. 1112-1117.
41. I. Guyon and A. Elisseeff, "An introduction to variable and feature selection," The Journal of Machine Learning Research, vol. 3, pp. 1157-1182, 2003.