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Max LOUWERSE

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BOOKS
1.
Louwerse, M.M. & Van Peer, W. (eds.) (2002). Thematics: Interdisciplinary studies. Amsterdam: Benjamins.
 
 
 
JOURNAL ARTICLES
24.
Louwerse, M.M. & Zwaan, R.A. (in press). Language encodes geographical information. Cognitive Science.
23.
Louwerse, M.M. (in press). Embodied representations are encoded in language. Psychonomic Bulletin and Review.
22.
Louwerse, M.M., Crossley, S., & Jeuniaux, P. (in press). What if? Conditionals in educational registers. Linguistics and Education.
21.
Mitchell, H.H., Graesser, A.C., Louwerse, M.M. (in press). The effect of context on humor: A constraint-based model of verbal jokes. Discourse Processes.
20.
Louwerse, M.M. (2007). Disambiguating propositions. Revista Signos, 40, 337-356.
19.
Crossley, S.A., Louwerse, M.M., McCarthy, P., & McNamara, D.S. (2007). What is an authentic text: A computational analysis of second language reading texts. Modern Language Journal, 91, 15-30.
18.
Crossley, S.A. & Louwerse, M.M. (2007). Multi-dimensional register classification using collocations. International Journal of Corpus Linguistics, 12, 453–478.
17.
Louwerse, M.M. & Van Peer (2006). Waar het over gaat in cijfers. Kwantitatieve benaderuingen in tekst- en literatuurwetenschap. [What it is about in numbers: quantitative approaches in text- and literary studies]. Tijdschrift voor Nederlandse Taal- en Letterkunde, 122, 21-35.
16.
Louwerse, M.M., Cai, Z., Hu, X., Ventura, M., & Jeuniaux, P. (2006). Cognitively inspired natural-language based knowledge representations: Further explorations of Latent Semantic Analysis. International Journal of Artificial Intelligence Tools, 15,1021-1039
15.
Graesser, A.C., Cai, Z., Louwerse, M., & Daniel, F. (2006). Question Understanding Aid (QUAID): A web facility that helps survey methodologists improve the comprehensibility of questions. Public Opinion Quarterly, 70, 1-20.
14.
Louwerse, M.M. & Ventura, M. (2005). How children learn the meaning of words and how LSA does it (too). Journal of Learning Sciences, 14, 301-309.
13.
Louwerse, M.M., Graesser, A.C., Lu, S., & Mitchell, H.H. (2005). Social cues in animated conversational agents. Applied Cognitive Psychology, 19, 1-12.
12.
Penumatsa, P., Ventura, M., Graesser, A.C., Franceschetti, D.R., Louwerse, M., Hu, X., Cai, Z., & the Tutoring Research Group (2004). The right threshold value: What is the right threshold of cosine measure when using latent semantic analysis for evaluating student answers? International Journal of Artificial Intelligence Tools, 12, 257-279.
11.
Louwerse, M.M. & Kuiken, D. (2004). The effects of personal involvement in narrative discourse. Discourse Processes, 38, 169-172.
10.
Louwerse, M.M. (2004). Un modelo conciso de cohesion en el texto y coherencia en la comprehension [A concise model of cohesion in text and coherence in comprehension]. Revista Signos, 37, 41-58.
9.
Louwerse, M.M. (2004). Semantic variation in idiolect and sociolect: Corpus linguistic evidence from literary texts. Computers and the Humanities, 38, 207-221.
8.
Graesser, A.C., McNamara, D.S., Louwerse, M.M., & Cai, Z. (2004). Coh-Metrix: Analysis of text on cohesion and language. Behavior Research Methods, Instruments, and Computers, 36, 193-202.
7.
Graesser, A.C., Lu, S., Jackson, G.T., Mitchell, H., Ventura, M., Olney, A., & Louwerse, M.M. (2004). AutoTutor: A tutor with dialogue in natural language. Behavioral Research Methods, Instruments, and Computers, 36, 180-193.
6.
Louwerse, M.M. & Mitchell, H.H. (2003). Towards a taxonomy of a set of discourse markers in dialog: a theoretical and computational linguistic account. Discourse Processes, 35, 199-239.
5.
Louwerse, M.M. (2002). An analytic and cognitive parameterization of coherence relations. Cognitive Linguistics, 12, 291–315.
4.
Louwerse, M.M. (1999). Computationele modellen in de literatuurwetenschap: bereken maar! [Computational models in literary studies: Count on it!] Frame, 3, 38-57.
3.
Louwerse, M.M. (1999). Computational thematics: Where to start? Journal of Literary Semantics, 28, 1-19.
2.
Louwerse, M.M. (1997). Survival of the fittest: kiezen of delen in de literatuurwetenschap [Survival of the fittest: Truth or dare in literary studies]. Frame, 1, 62-71.
1.
Louwerse, M.M. (1997). Bits and pieces: Toward an interactive classification of folktales. Journal of Folklore Research, 34, 245-249.
 
 
 
BOOK CHAPTERS
18.
Louwerse, M.M. & Jeuniaux, P. (in press). Computational psycholinguistic techniques to measure cohesion in discourse. In J. Renkema (Ed.), Discourse of course. Amsterdam: Benjamins.
17.
Louwerse, M.M., Benesh, N., Zhang, B. (in press). Computationally Discriminating Literary from Non-Literary Texts. In S. Zyngier, M. Bortolussi, A. Chesnokova, J. Auracher (Eds.), Directions in empirical literary studies. Amsterdam: Benjamins.
16.
Louwerse, M.M. & Van Peer, W. (in press). Incorporated means symbolic and embodied. Reply to Geeraerts. In Brone, G. & Vandaele, J. (Eds.), Cognitive Poetics. Berlin, Germany: De Gruyter.
15.
Louwerse, M.M. & Van Peer, W. (in press). How cognitive is cognitive poetics? The interaction between symbolic and embodied cognition. In Brone, G. & Vandaele, J. (Eds.), Cognitive Poetics. Berlin, Germany: De Gruyter.
14.
Louwerse, M.M., Lewis, G. & Wu, J. (in press). Unigrams, bigrams and LSA. Corpus linguistic explorations of genres in Shakespeare’s plays. In Van Peer, W. & Auracher, J. (eds). New directions in literary studies. Cambridge: Cambridge Scholars Publishing.
13.
Louwerse, M.M. & Jeuniaux, P. (in press). Language comprehension is both embodied and symbolic. In M. de Vega, A. Glenberg, & A.C. Graesser (Eds.), Embodiment and meaning: A debate. Oxford: Oxford University Press.
12.
Graesser, A.C., McNamara, D.S., & Louwerse, M.M. (in press). Methods of automated text analysis. In R. Barr, M.L. Kamil, P.B. Mosenthal, and P.D. Pearson (Eds.), Handbook of reading research. Mahwah, NJ: Erlbaum.
11.
Vanderveen, A., Huff, K., Gierl, M., McNamara, D.S., Louwerse, M.M., & Graesser, A.C. (2007). Developing and validating instructionally relevant reading competency profiles measured by the critical reading section of the SAT. In McNamara, D.S. (Ed.), Reading comprehension strategies: Theory, interventions, and technologies (pp. 137-172). Mahwah, NJ: Erlbaum.
10.
Graesser, A.C., Louwerse, M.M., McNamara, D., Olney, A., Cai, Z., & Mitchell, H. (2007). Inference generation and cohesion in the construction of situation models: Some connections with computational linguistics. In F. Schmalhofer and C. Perfetti (Eds.), Higher level language processes in the brain: Inferences and comprehension processes. Mahwah, NJ: Erlbaum.
9.
McNamara, D.S., Cai, Z., & Louwerse, M.M. (2007). Comparing latent and non-latent measures of cohesion. In T. Landauer, D.S. McNamara, S. Dennis, & W. Kintsch (Eds.), Handbook of latent semantic analysis (pp. 379-400). Mahwah, NJ: Erlbaum.
8.
Louwerse, M.M. (2007). Symbolic or embodied representations: A case for symbol interdependency. In T. Landauer, D. McNamara, S. Dennis, & W. Kintsch (Eds.). Handbook of latent semantic analysis (pp. 107-120). Mahwah, NJ: Erlbaum.
7.
Louwerse, M.M. & Van Peer, W. (2006). Thematics. In: Keith Brown, (Editor-in-Chief) Encyclopedia of Language & Linguistics, Second Edition, volume 12 (pp. 653-658). Oxford: Elsevier.
6.
Louwerse, M.M. & Graesser, A.C. (2006), Macrostructure. In: Keith Brown, (Editorin-Chief) Encyclopedia of Language & Linguistics, Second Edition, volume 7, (pp. 426-429). Oxford: Elsevier.
5.
Louwerse, M.M. & Graesser, A.C. (2005). Coherence in discourse. In Strazny, P. (ed.), Encyclopedia of linguistics. (pp. 216-218). Chicago: Fitzroy Dearborn.
4.
Graesser, A.C., McNamara, D.S., & Louwerse, M.M. (2003). What do readers need to learn in order to process coherence relations in narrative and expository text.  In A.P. Sweet and C.E. Snow (Eds.), Rethinking reading comprehension (pp. 82-98). New York: Guilford Publications.
3.
Louwerse, M.M. & Van Peer, W. (2002). Introduction. In M. M. Louwerse & W. van Peer (eds.), Thematics: Interdisciplinary Studies (pp. 1-17). Amsterdam/Philadelphia, John Benjamins.
2.
Louwerse, M.M. (2002). Computational retrieval of themes. In M. M. Louwerse & W. van Peer (eds.), Thematics: Interdisciplinary studies (pp. 189-212). Amsterdam/Philadelphia, John Benjamins.
1
Louwerse, M.M. (1997). Inleiding [Introduction]. In Vladimir Propp, De morfologie van het toversprookje. Vormleer van een genre [The Morphology of the Folktale. Formal Study of a Genre; transl. M. M. Louwerse]. Utrecht, Het Spectrum.
 
 
 
REFEREED CONFERENCE PROCEEDINGS
37.
Louwerse, M.M. & Jeuniaux, J. (in press). How fundamental is embodiment to language comprehension? Constraints on embodied cognition. In V.Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 29th Annual Conference of the Cognitive Science Society (pp.xxxx-xxxx). Mahwah, NJ: Erlbaum.
36.
Louwerse, M.M., Jeuniaux, J., Zhang, B., Wu, J. & Hoque, M.E. (in press). The interaction between information and intonation structure: Prosodic marking of theme and rheme. In V.Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 29th Annual Conference of the Cognitive Science Society (pp.xxxx-xxxx). Mahwah, NJ: Erlbaum.
35.
Louwerse, M.M., Benesh, N., Hoque, M.E., Jeuniaux, P., Lewis, G. , Wu, J., & Zirnstein, M. (2007). Multimodal communication in face-to-face conversations. Proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 1235-1240). Mahwah, NJ: Erlbaum.
34.
Hoque, M.E., Sorower, M.S., Yeasin, M., & Louwerse, M.M. (2007). What speech tells us about discourse: The role of prosodic and discourse features in dialogue act classification. IEEE International Joint Conference on Neural Networks (IJCNN).
33.
McNamara, D.S., Ozuru, Y., Graesser, A.C., & Louwerse, M. (2006). Validating Coh-Metrix. In R. Sun & N. Miyake (Eds.), Proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 573-578). Mahwah, NJ: Erlbaum.
32.
32. Louwerse, M.M., McNamara, D.S., Graesser, A.C., Lewis, G., & Zirnstein, M. (2006). An eye for an eye, and for other modalities. In Silva, M. & Cox, A. (Eds.), Proceedings of the Cognitive Science Workshop “What have eye movements told us so far, and what is next?” London, University College London.
31.
Louwerse, M.M., Jeuniaux, P., Hoque, M.E., Wu, J., & Lewis, G. (2006). Multimodal communication in computer-mediated map task scenarios. In R. Sun & N. Miyake (Eds.), Proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 1717-1722). Mahwah, NJ: Erlbaum.
30.
Louwerse, M.M., Graesser, A.C., McNamara, D.S., Jeuniaux, P., & Yang, F. (2006). Coherence is also in the eye of the beholder. In Silva, M. & Cox, A. (Eds.), Proceedings of the Cognitive Science Workshop “What have eye movements told us so far, and what is next?” London, University College London.
29.
Jeuniaux, P., Louwerse, M.M., & Hu, X. (2006). The role of discourse structure and response time in multimodal communication. In Gratch, J., Young, M., Aylett, R., Ballin, D., & Olivier, P. (Eds.), Proceedings of the 6th International Conference in Intelligent Virtual Agents (pp. 459-460). New York, Springer.
28.
Hoque, M.E., Yeasin, M., & Louwerse, M.M. (2006). Robust recognition of emotion from speech. In Gratch, J., Young, M., Aylett, R., Ballin, D., & Olivier, P. (Eds.), Proceedings of the 6th International Conference in Intelligent Virtual Agents (pp. 42-53). New York, Springer.
27.
Guhe, M., Steedman, M., Bard, E.G., & Louwerse, M.M. (in press). Prosodic marking of contrasts in information structure. Proceedings of the 10th Workshop on the Semantics and Pragmatics of Dialogue (BranDial06).
26.
Dufty, D.F., Graesser, A.C., Louwerse, M., & McNamara, D.S., (2006). Is it just readability, or does cohesion play a role? In R. Sun & N. Miyake (Eds.), Proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 1251-1256). Mahwah, NJ: Erlbaum.
25.
Crossley, S.A., McCarthy, P.M., Lewis, G.A., Dufty, D.F., Louwerse, M.M., & McNamara, D.S. (in press). Detecting manipulated texts. In R. Sun & N. Miyake (Eds.), Proceedings of the 28th Annual Conference of the Cognitive Science Society (p. 2463). Mahwah, NJ: Erlbaum.
24.
Louwerse, M.M. & Crossley, S.A. (2006). Dialog act classification using n-gram algorithms. In Proceedings of the 19th International Florida Artificial Intelligence Research Society.
23.
Louwerse, M.M., Cai, Z., Hu, X., Ventura, M., & Jeuniaux, P. (2005). The embodiment of amodal symbolic knowledge representations. In I. Russell & Z. Markov (Eds.), Proceedings of the 18th International Florida Artificial Intelligence Research Society (pp. 542-547). Menlo Park, CA: AAAI Press.
22.
Louwerse, M.M. & Bangerter, A. (2005). Focusing attention with deictic gestures and linguistic expressions. In B. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedings of the Cognitive Science Society (pp. 1331-1336). Mahwah, NJ: Lawrence Erlbaum.
21.
21. Ventura, M., Hu, X., Graesser, A., & Louwerse, M. (2004). The context dependent sentence abstraction model. In K. Forbus, D. Gentner, & T. Regier (Eds.), Proceedings of the twenty-sixth annual conference of the Cognitive Science Society (pp. 1387-1392). Mahwah, NJ: Erlbaum.
20.
McNamara, D.S., Floyd, R.G., Best, R., & Louwerse, M. (2004). World knowledge driving young readers' comprehension difficulties. In Y.B. Yasmin, W.A., Sandoval, N. Enyedy, A.S. Nixon, & F. Herrera (Eds.), Proceedings of the sixth international conference of the learning sciences: Embracing diversity in the learning sciences (pp. 326-333). Mahwah, NJ: Erlbaum.
19.
Louwerse, M.M., McCarthy, P.M., McNamara, D.S., & Graesser, A.C. (2004). Variation in language and cohesion across written and spoken registers. In K. Forbus, D. Gentner, & T. Regier (Eds.), Proceedings of the twenty-sixth annual conference of the Cognitive Science Society (pp. 843-848). Mahwah, NJ: Erlbaum.
18.
Howell, K., Cannon-Bowers, J., Corbett, A., Louwerse, M.M., & Moye, A. (2004). Learning Science and technology R&D: A roadmap to the future of learning. Proceedings for the Frontiers in Education (FIE) 2004 Conference. CD-ROM.
17.
Dufty, D.F., McNamara, D., Louwerse, M., Cai, Z., & Graesser, A.C. (2004). Automated evaluation of aspects of document quality. In S. Tilley & S. Huang (Eds.), Proceedings of the 22nd annual international conference on Documentation (pp. 14-16). New York, ACM.
16.
Cai, Z., McNamara, D. S., Louwerse, M. M., Hu, X., Rowe, M. P., & Graesser, A.C. (2004). NLS: A non-latent similarity algorithm. In K. D. Forbus, D. Gentner, T. Regier (Eds.), Proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 180-185). Mahwah, NJ: Erlbaum.
15.
Olney , A., Louwerse, M., Mathews, E., Marineau, J., Hite-Mitchell, H., & Graesser, A. (2003). Utterance Classification in AutoTutor. In J. Burstein & C. Leacock (Eds.), Building Educational Applications using Natural Language Processing: Proceedings of the Human Language Technology - North American Chapter of the Association for Computational Linguistics Conference 2003 Workshop, May 31, (pp. 1-8). Philadelphia: Association for Computational Linguistics.
14.
Louwerse, M.M., Graesser, A.C., & the Tutoring Research Group (2003). Language use in intelligent tutoring systems: mixed-initiative dialog in AutoTutor. In A.K. Noor (Ed.), Proceedings of workshop on Advanced learning technologies and learning networks and their impact on future aerospace workforce (pp. 251-276). Hanover, MD: NASA Center for Aerospace Information (NASA/CP-2003-212437).
13.
Hu, X., Cai, Z., Franceschetti, D., Penumatsa,P., Graesser, A.C., Louwerse, M.M., McNamara, D.S., & TRG (2003). LSA: The first dimension and dimensional weighting. In R. Alterman and D. Hirsh (Eds.), Proceedings of the 25th Annual Conference of the Cognitive Science Society (pp. 587-592). Boston, MA: Cognitive Science Society.
12.
Hu, X., Cai, Z., Graesser, A.C., Louwerse, M.M., Penumatsa, P., Olney, A. & the Tutoring Research Group (2003). An improved LSA algorithm to evaluate student contributions in tutoring dialogue. In G. Gottlob & T. Walsh (Eds.), Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (pp.1489-1491). San Francisco: Morgan Kaufmann.
11.
Graesser, A.C., Jackson, G.T., Mathews, E.C., Mitchell, H.H., Olney, A., Ventura, M., Chipman, P., Franceschetti, D., Hu, X., Louwerse, M.M., Person, N.K., & TRG (2003). Why/AutoTutor: A test of learning gains from a physics tutor with natural language dialog. In R. Alterman & D. Hirsh (Eds.), Proceedings of the 25th Annual Conference of the Cognitive Science Society (pp. 1-5). Boston, MA: Cognitive Science Society.
10.
Olney, A., Person, N., Louwerse, M., & Graesser, A. (2002). AutoTutor: A conversational tutoring environment. Proceedings of the ACL-02 Demonstration Session (pp. 108–109). Philadelphia: Association for Computational Linguistics.
9.
Marineau, J., Olney, A., Louwerse, M., Person, N., Olde, B., Susarla, S., Chipman, P., Graesser, A.C., & TRG (2002). AutoTutor’s log files and categories of language and discourse. In C.P. Rose & V. Eleven (Eds.), Workshop Proceedings of Empirical Methods for Tutorial Dialogue Systems at IRS 2002 (pp. 85-92). San Sebastian, Spain.
8.
Louwerse, M.M., Graesser, A.C., Olney, A., & the Tutoring Research Group (2002). Good computational manners: Mixed-initiative dialog in conversational agents. In C. Miller, Etiquette for Human-Computer Work. Papers from the 2002 Fall Symposium, Technical Report FS-02-02 (pp. 71-76). Menlo Park, CA: AAAI Press.
7.
Louwerse, M., Graesser, A., Hu, X., & Person, N. (2002). The role of intelligent tutoring systems in education: An overview of AutoTutor. In C. Crawford et al. (Eds.), Proceedings of Society for Information Technology and Teacher Education International Conference 2002 (pp. 2056-2057). Chesapeake, VA: AACE.
6.
Jackson, T., Mitchell, H.H., Graesser, A.C., & Louwerse, M. (2002). Improving conversational interaction for intelligent tutoring systems. The 4th Annual Memphis Area Engineering and Science Conference Proceedings.
5.
Graesser, A.C., Hu, X., Olde, B.A., Ventura, M., Olney, A., Louwerse, M., Franceschetti, D.R., & Person, N. (2002). Implementing latent semantic analysis in learning environments with conversational agents and tutorial dialog. . In W.G. Gray and C.D. Schunn (Eds.) Proceedings of the 24th Annual Meeting of the Cognitive Science Society (p. 37). Mahwah, NJ: Erlbaum.
4.
Louwerse, M.M. (2001). Context in causal and diagnostic readings: Cognitive evidence from eye tracking. In: Degand, L., Bestgen, Y., Spooren, W., & Waes, L. (Eds.). Multidisciplinary Approaches to Discourse (pp. 11-26). Amsterdam & Muenster, Uitgaven Stichting Neerlandistiek VU, Nodus.
3.
Graesser, A.C., Karnavat, A.B., Daniel, F.K., Cooper, E., Whitten, S.N., & Louwerse, M. (2001). A computer tool to improve questionnaire design. In Statistical Policy Working Paper 33, Federal Committee on Statistical Methodology (pp. 36-48). Washington, DC: Bureau of Labor Statistics.
2.
Graesser, A.C., Hu, X., Susarla, S., Harter, D., Person, N., Louwerse, M., Olde, B., & the TRG (2001).  AutoTutor: An intelligent tutor and conversational tutoring scaffold. Papers from the Workshop on ‘Tutorial Dialog Systems’ at the Artificial Intelligence in Education 2001 Conference  (pp.47-49).  San Antonio, TX.
1.
Louwerse, M.M. (1999). The source of coherence: Why semantic vs. pragmatic is not part of a cognitive approach to a parameterisation of coherence relations. Working notes. International Workshop on Text Representation (pp. 55-61). University of Edinburgh, July 7-9 1999.

 
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