论文信息 - Latent Semantic Analysis - 字舞流文

Latent Semantic Analysis

Latent semantic analysis (LSA) approximates human understanding of relations between word and passage meanings in a wide variety of ways. Keywords: LSA; machine learning; semantics; induction; meaning

Thomas K. Landauer | T. Landauer

[1] Peter W. Foltz,et al. The Measurement of Textual Coherence with Latent Semantic Analysis. , 1998 .

[2] Marti A. Hearst. The debate on automated essay grading , 2000 .

[3] Allan Collins,et al. A spreading-activation theory of semantic processing , 1975 .

[4] T. Landauer,et al. A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. , 1997 .

[5] Mark S. Seidenberg,et al. Language Acquisition and Use: Learning and Applying Probabilistic Constraints , 1997, Science.

[6] T. Landauer. Learning and Representing Verbal Meaning , 1998 .

[7] Muneo Kitajima,et al. A Comprehension-Based Model of Exploration , 1997, Hum. Comput. Interact..

[8] Nick Chater,et al. Connectionist natural language processing: the state of the art , 1999 .

[9] Curt Burgess,et al. Producing high-dimensional semantic spaces from lexical co-occurrence , 1996 .

[10] Arthur C. Graesser,et al. AutoTutor: A simulation of a human tutor , 1999, Cognitive Systems Research.