CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Computer Evaluation of Indexing and Text Processing
Journal of the ACM (JACM)
ACM Computing Surveys (CSUR)
Concept decompositions for large sparse text data using clustering
Machine Learning
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Learning Algorithms for Keyphrase Extraction
Information Retrieval
Feature Engineering for Text Classification
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
On the quality of ART1 text clustering
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
The Journal of Machine Learning Research
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Improved automatic keyword extraction given more linguistic knowledge
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
A knowledge-based search engine powered by wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Enhancing text clustering by leveraging Wikipedia semantics
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Mining the Web to Create Specialized Glossaries
IEEE Intelligent Systems
Learning to link with wikipedia
Proceedings of the 17th ACM conference on Information and knowledge management
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Web page classification: Features and algorithms
ACM Computing Surveys (CSUR)
The state of the art in tag ontologies: a semantic model for tagging and folksonomies
DCMI '08 Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications
Classifying search queries using the Web as a source of knowledge
ACM Transactions on the Web (TWEB)
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
A probabilistic framework for automatic term recognition
Intelligent Data Analysis
A statistical approach to mechanized encoding and searching of literary information
IBM Journal of Research and Development
A Cognitive Framework for Core Language Understanding and its Computational Implementation
International Journal of Cognitive Informatics and Natural Intelligence
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Existing topic identification techniques must tackle an important problem: they depend on human intervention, thus incurring major preparation costs and lacking operational flexibility when facing novelty. To resolve this issue, we propose an adaptable and autonomous algorithm that discovers topics in unstructured text documents. The algorithm is based on principles that differ from existing natural language processing and artificial intelligence techniques. These principles involve the retrieval, activation and decay of general-purpose lexical knowledge, inspired by how the brain may process information when someone reads. The algorithm handles words sequentially in a single document, contrary to the usual corpus-based bag-of-words approach. Empirical results demonstrate the potential of the new algorithm.