Observing Lemmatization Effect in LSA Coherence and Comprehension Grading of Learner Summaries

1. Kintsch, W., Patel, V.L., Ericsson, K.A.: The role of long-term working memory in text comprehension. Psychologia 42, 186–198 (1999)

   Google Scholar 

2. Barlett, F.C.: Remembering; a Studty in Experimental and Social Psychology. Cambridge University Press, Cambridge (1932)

   Google Scholar 

3. Garner, R.: Efficient Text Summarization. Costs and Benefits. Journal of Educational Research 75(5), 275–279 (1982)

   Google Scholar 

4. Zipitria, I., Elorriaga, J.A., Arruarte, A., de Ilarraza, A.D.: From Human to Automatic Summary Evaluation. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 432–442. Springer, Heidelberg (2004)

   Chapter  Google Scholar 

5. Landauer, T.K., Dumais, S.T.: A solution to Plato’s problem: The Latent Semantic Analysis theory of acquisition, induction, and representation of knowledge. Psychological Review 104, 211–240 (1997)

   Article  Google Scholar 

6. Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by Latent Semantic Analysis. Journal of the American Society of Information Science (1990)

   Google Scholar 

7. Landauer, T.K., Foltz, P., Laham, D.: Introduction to Latent Semantic Analysis. Discourse Processes 25, 259–284 (1998)

   Article  Google Scholar 

8. Foltz, P.W., Kintsch, W., Landauer, T.K.: The Measurement of Textual Coherence with Latent Semantic Analysis. Discourse Processes 25, 285–307 (1998)

   Article  Google Scholar 

9. Wolfe, M.B.W., Schreiner, M.E., Rehder, B., Laham, D., Foltz, P.W., Kintsch, W., Lan-dauer, T.K.: Learning from text:Matching readers and texts by Latent Semantic Analysis. Discourse Processes 25, 309–336 (1998)

   Article  Google Scholar 

10. Graesser, A.C., Person, N.K., Harter, D.: Teaching tactics and dialog in Autotutor. International Journal of Artificial Intelligence in Education 12, 257–279 (2001)

    Google Scholar 

11. Wiemer-Hastings, P., Graesser, A.: Select-a-Kibitzer: A computer tool that gives meaningful feedback on student compositions. Interactive Learning Environments 8(2), 149–169 (2000)

    Article  Google Scholar 

12. Wade-Stein, D., Kintsch, E.: Summary Street: Interactive Computer Support for Writing. Cognition and Instruction 22(3), 333–362 (2004)

    Article  Google Scholar 

13. Miller, T.: Essay assessment with latent semantic analysis. Journal of Educational Computing Research 28 (2003)

    Google Scholar 

14. Ventura, M.J., Franchescetti, D.R., Pennumatsa, P., Graesser, A.C., Hu, G.T.J.X., Cai, Z., Group, t.T.R.: Combining Computational Models of Short Essay Grading for Conceptual Physics Problems. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 423–431. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

15. Tomasello, M.: Constructing a Language: A Usage-Based Theory of Language Acquisition. Harvard University Press, Cambridge (2003)

    Google Scholar 

16. Palolahti, M., Leino, S., Jokela, M., Kopra, K., Paavilainen, P.: Event-related potentials suggest early interaction between syntax and semantics during on-line sentence comprehension. Neuroscience Letters 384(3), 222 (2005)

    Article  Google Scholar 

17. Hagoort, P.: Interplay between Syntax and Semantics during Sentence Comprehension: ERP Effects of Combining Syntactic and Semantic Violations. Journal of Cognitive Neuroscience 15(6), 883–899 (2003)

    Article  Google Scholar 

18. Landauer, T.K., Laham, D., Rehder, B., Schreiner, M.E.: How well can passage meaning be derived without using word order? A comparison of Latent Semantic Analysis and humans. In: 19th Annual Meeting of the Cognitive Science Society. Erlbaum, Mahwah (1997)

    Google Scholar 

19. Wiemer-Hastings, P., Zipitria, I.: Rules for Syntax, Vectors for Semantics. In: Proceedings of the 23rd Annual Conference of the Cognitive Science Society. Erlbaum, Mahwah (2001)

    Google Scholar 

20. Serafin, R., Eugenio, B.D.: FLSA: Extending Latent Semantic Analysis with Features for Dialogue Act Classification. In: Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, Barcelona, Spain (2004)

    Google Scholar 

21. Kanejiya, D., Kamar, A., Prasad, S.: Automatic Evaluation of Students’ Answers using Syntactically Enhanced LSA. In: Proceedings of the HLT-NAACL 2003 Workshop on Building Educational Applications Using Natural Language Processing (2003)

    Google Scholar 

22. Olde, B.A., Franceschetti, D.R., Karnavat, A., Graesser, A.C., TRG.: The right stuff: Do you need to sanitize your corpus when using latent semantic analysis? In: 24rd Annual Conference of the Cognitive Science Society. Erlbaum, Mahwah (2002)

    Google Scholar 

23. Landauer, T.K., Littman, M.L.: A statistical method for language-independent representation of the topical content of text segments. In: Proceedings of the Sixth Annual Conference of the UW Centre for the New Oxford English Dictionary and Text Research (1990)

    Google Scholar 

24. Aduriz, I., Aranzabe, M.J., Arriola, J.M., de Ilarraza, A.D., Gojenola, K., Oronoz, M., Uria, L.: A Cascaded Syntactic Analyser for Basque. In: Gelbukh, A. (ed.) CICLing 2004. LNCS, vol. 2945, pp. 124–134. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

Download references