Neural Network and Its Application in IR

This is a literature review on neural networks and related algorithms. It is aimed to get a general understanding on neural networks and find out the possible applications of these models in information retrieval (IR) systems. Beginning with a preliminary definition and typical structure of neural networks, neural networks are studied with respect to their learning processes and architecture structures. A case study on some specific networks and related algorithms is followed. The applications of some neural network models and related algorithms in information retrieval systems are then investigated. Problems on applying neural network models into IR systems are finally summarized in the conclusion.

[1]  James A. Reggia,et al.  Connectionist models and information retrieval , 1990 .

[2]  Kui-Lam Kwok A neural network for probabilistic information retrieval , 1989, SIGIR '89.

[3]  Katsumi Tanaka,et al.  A SOM-Based Information Organizer for Text and Video Data , 1997, DASFAA.

[4]  G Palm,et al.  Computing with neural networks. , 1987, Science.

[5]  N. K. Bose,et al.  Neural Network Fundamentals with Graphs, Algorithms and Applications , 1995 .

[6]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory , 1988 .

[7]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[8]  Yiyu Yao,et al.  Computation of term associations by a neural network , 1993, SIGIR.

[9]  Bruce R. Schatz,et al.  Automatic subject indexing using an associative neural network , 1998, DL '98.

[10]  K. J. Lynch,et al.  Generating, integrating, and activating thesauri for concept-based document retrieval , 1993, IEEE Expert.

[11]  Scott Everett Preece A spreading activation network model for information retrieval , 1981 .

[12]  Ronald J. Brachman,et al.  What IS-A Is and Isn't: An Analysis of Taxonomic Links in Semantic Networks , 1983, Computer.

[13]  J. Hopfield,et al.  Computing with neural circuits: a model. , 1986, Science.

[14]  Roman Bek,et al.  Discourse on one way in which a quantum-mechanics language on the classical logical base can be built up , 1978, Kybernetika.

[15]  W. Pitts,et al.  A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.

[16]  James A. Reggia,et al.  Self-processing networks and their biomedical implications , 1988, Proc. IEEE.

[17]  John J. Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities , 1999 .

[18]  Ross Wilkinson,et al.  Using the cosine measure in a neural network for document retrieval , 1991, SIGIR '91.

[19]  Abhijit S. Pandya,et al.  Pattern Recognition with Neural Networks in C++ , 1995 .

[20]  Paul R. Cohen,et al.  Information retrieval by constrained spreading activation in semantic networks , 1987, Inf. Process. Manag..

[21]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[22]  Richard P. Lippmann,et al.  An introduction to computing with neural nets , 1987 .

[23]  Hsinchun Chen Machine learning for information retrieval: neural networks, symbolic learning, and genetic algorithms , 1995 .

[24]  Gerard Salton,et al.  On the use of spreading activation methods in automatic information , 1988, SIGIR '88.