Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
Introduction to the theory of neural computation
Introduction to the theory of neural computation
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Advances in Automatic Text Summarization
Advances in Automatic Text Summarization
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Topic-based document segmentation with probabilistic latent semantic analysis
Proceedings of the eleventh international conference on Information and knowledge management
A critique and improvement of an evaluation metric for text segmentation
Computational Linguistics
A practical web-based approach to generating topic hierarchy for text segments
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Discourse segmentation of multi-party conversation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Multilingual summarization evaluation without human models
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Discursive sentence compression
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
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In this paper we present a Neural Network approach, inspired by statistical physics of magnetic systems, to study fundamental problems of Natural Language Processing (NLP). The algorithm models documents as neural network whose Textual Energy is studied. We obtained good results on the application of this method to automatic summarization and Topic Segmentation.