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Lista de candidatos sometidos a examen:
1) latent semantic analysis (*)
(*) Términos presentes en el nuestro glosario de lingüística

1) Candidate: latent semantic analysis


Is in goldstandard

1
paper corpusSignosTxtLongLines124 - : Latent Semantic Analysis: an Overview of its Development

2
paper corpusSignosTxtLongLines176 - : Latent Semantic Analysis:

3
paper corpusSignosTxtLongLines176 - : El LSA (del inglés Latent Semantic Analysis) es un tipo de análisis computacional que permite determinar y cuantificar la similitud semántica entre piezas textuales -sean palabras, documentos o palabras y documentos- de un corpus de textos pertenecientes a un mismo dominio de conocimiento . Para ello, el sistema computacional del LSA sigue un algoritmo matemático que tiene como centro a la técnica de factorización lineal conocida como descomposición de valores singulares (SVD, sigla del inglés Singular Value Decomposition), a partir de la cual se genera una representación vectorial del corpus o espacio semántico en cuya conformación y posterior utilización reconocemos dos supuestos lingüísticos acerca del significado: (1) el significado es contextualmente dependiente y (2) en el uso contextual hay relaciones de similitud semántica que están latentes.

4
paper corpusSignosTxtLongLines322 - : Summaries assessment in Spanish using Latent Semantic Analysis: A possible implementation

Evaluando al candidato latent semantic analysis:



latent semantic analysis
Lengua:
Frec: 80
Docs: 13
Nombre propio: 4 / 80 = 5%
Coocurrencias con glosario:
Puntaje: 0.136 = ( + (1+0) / (1+6.33985000288463)));
Candidato aceptado

Referencias bibliográficas encontradas sobre cada término

(Que existan referencias dedicadas a un término es también indicio de terminologicidad.)
latent semantic analysis
: Crossley, S. A., Salsbury, T. & McNamara, D. S. (2010b). The development of semantic relations in second language speakers: A case for Latent Semantic Analysis. Vigo International Journal of Applied Linguistics, 7, 55-74.
: Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K. & Harshman, R. (1990). Indexing by Latent Semantic Analysis. Journal of the American Society for Information Science, 41(6), 391-407.
: Denhiére, G., Lemaire, B., Bellissens, C. & Jhean-Larose, S. (2007). A semantic space modeling children's semantic memory. En T. Landauer, D. McNamara, S. Dennis & W. Kintsch (Eds.) The handbook of Latent Semantic Analysis (pp. 143-167). Mahwah, NJ: Erlbaum.
: Dennis, S., Landauer, T., Kinstch, W. & Quesada, J. (2003). Introduction to latent semantic analysis [en línea]. Disponible en: [36]http://lsa.colorado.edu/~quesadaj/pdf/LSATutorial.pdf
: Dunn, J., Almeida, O., Barclay, L., Waterreus, A. & Flicker, L. (2002). Latent semantic analysis: A new method to measure prose recall. Journal of Clinical and Experimental Neuropsychology, 24(1), 26-35.
: Foltz, P. (1996). Latent Semantic Analysis for text-based research. Behavior Research Methods, Instruments and Computers, 28(2), 197-202.
: Foltz, P. , Kintsch, W. & Landauer, T. (1998). The measurement of textual coherence with latent semantic analysis. Discourse Processes, 25, 285-307.
: Foltz, P. W. (1996) Latent Semantic Analysis for text-based research. Behavior Research Methods, Instruments and Computers. 28(2), 197-202.
: Foltz, P., Kintsch, W. & Landauer, T. (1998). The measurement of textual coherence with latent semantic analysis. Discourse Processes, 25 (2-3), 285-307.
: Graesser, A., Wiemer-Hastings, P., Wiemer-Hastings, K., Harter, D., Person, N. & Tutoring Research Group (2000). Using latent semantic analysis to evaluate the contributions of students in AutoTutor. Interactive Learning Environments, 8, 129-148.
: Kintsch, W. (2007). Meaning in context. En T. Landauer, D. McNamara, S. Dennos & W. Kintsch (Eds.), Handbook of Latent Semantic Analysis (pp. 89-105). Mahwah, NJ.: Erlbaum.
: Landauer, T. & Dumais, S. (1997) A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction and representation of knowledge. Psychological Review, 104, 211-240.
: Landauer, T. K. & Psotka, J. (2000). Simulating text understanding for educational applications with latent semantic analysis: Introduction to LSA. Interactive Learning Environments, 8(2), 73-86.
: Landauer, T. K., Foltz, P. W. & Laham, D. (1998). Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259-284.
: Landauer, T., McNamara D., Dennis, S. & Kintsch, W. (2007). Handbook of latent semantic analysis, Hillsdale, NJ: Erlbaum.
: Landauer, T.K. & Dumais, S.T. (1997). A solution to Plato´s problem: The latent semantic analysis theory of acquisition, induction and representation of knowledge. Psychological Review, 104, 211-240.
: Landauer, Th. (1999) Latent Semantic Analysis: A Theory of the Psychology of language an Mind. Discourse Processes, 27(3), 303-310.
: Landauer, Th., y Dumais, S. (1997) A solution to Platos problem: the latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104, 211-240.
: León, I, Olmos, R., Escudero, I., Cañas, J. & Salmerón, L. (2006). Assessing short summaries with human judgments procedure and Latent Semantic Analysis in narrative and expository texts. Behavior Research Methods, Instruments and Computers, 38(4), 616-627.
: Magliano, J. P., Wiemer-Hastings, K., Millis, K. K., Muñoz, B. D., & McNamara, D. S. (2002). Using latent semantic analysis to assess reader strategies. Behavior Research Methods, Instruments, and Computers, 34,181-188.
: Martin, D. & Berry, M. (2007). Mathematical foundations behind latent semantic analysis. En T. Landauer, D. McNamara, S. Dennos & W. Kintsch (Eds.), Handbook of Latent Semantic Analysis (pp. 35-56). Mahwah, NJ.: Erlbaum.
: Miller, T. (2003). Essay Assessment with Latent Semantic Analysis. Journal of Educational Computing Research, 29(4), 495-512.
: Pérez, D., Alfonseca, E., Rodriguez, P., Gliozzo, A., Strapparava, C, &Magnini, B. (2005). About the effects of combining Latent Semantic Analysis with natural language processing techniques for free-text assessment. Revista Signos, 38(59), 325-343.
: Quesada, J., Kintsch, W. & Gómez, E. (2002). A theory of complex problem solving using latent semantic analysis [en línea]. Disponible en: [81]http://lsa.colorado.edu/~quesadaj/pdf/QuesadaKintschGomezCogSci02.pdf
: Rehder, B., Schreiner, M. E., Wolfe, M. B., Laham, D., Landauer, T. K. & Kintsch, W. (1998). Using Latent Semantic Analysis to assess knowledge: Some technical considerations. Discourse Processes, 25, 337-354.
: Steinhart, D. (2001). Summary Street: An intelligent tutoring system for improving student writing through the use of latent semantic analysis. Tesis doctoral, University of Colorado, Boulder, USA.
: Venegas, R. (2007). Using Latent Semantic Analysis in a Spanish research article corpus. En G. Parodi (Ed.), Working with Spanish corpora (pp. 195- 216). London: Continuum.
: Wolfe, M. & Goldman, S. (2003). Use of latent semantic analysis for predicting psychological phenomena: Two issues and proposed solutions. Behavior Research Methods, Instruments, & Computers, 35(1), 22-32.
: Wolfe, M. B.; Schreiner, M. E.; Rehder, B.; Laham, D.; Foltz, P. W.; Kintsch, W. y Landauer, T. K. (1998). Learning from text: Matching readers and text by Latent Semantic Analysis. Discourse Processes, 25, 309-336.