Automating the assignment of submitted manuscripts to reviewers
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Learning human-like knowledge by singular value decomposition: a progress report
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Generic text summarization using relevance measure and latent semantic analysis
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Using LSI for text classification in the presence of background text
Proceedings of the tenth international conference on Information and knowledge management
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
Automatic evaluation of students' answers using syntactically enhanced LSA
HLT-NAACL-EDUC '03 Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing - Volume 2
Automatic scoring of short handwritten essays in reading comprehension tests
Artificial Intelligence
An empirical study of required dimensionality for large-scale latent semantic indexing applications
Proceedings of the 17th ACM conference on Information and knowledge management
On robustness and domain adaptation using SVD for word sense disambiguation
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Automated team discourse annotation and performance prediction using LSA
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
A comparative study of two short text semantic similarity measures
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Efficient discovery of new information in large text databases
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
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The technique of latent semantic indexing (LSI) plays an important role in a growing number of text processing applications. In these applications, the most important aspect of LSI is that it can be used to emulate human judgment of textual content. In general, the economic savings that can be obtained thorough the use of LSI are directly dependent upon the fidelity with which LSI can be employed as a surrogate for human judgment. This paper presents an overview of 30 sets of studies in which the performance of LSI in text processing tasks can be compared directly to human performance on the same tasks. In half of the studies, performance of LSI was equal to or better than that of humans. The paper presents arguments that even this surprisingly high performance actually underestimates the potential performance of LSI. Two techniques are presented which can be used to obtain improved results in general LSI applications.