Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Unified theories of cognition
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
Introduction to the special issue on summarization
Computational Linguistics - Summarization
Interpreting TF-IDF term weights as making relevance decisions
ACM Transactions on Information Systems (TOIS)
Topic-driven multi-document summarization with encyclopedic knowledge and spreading activation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
The automatic creation of literature abstracts
IBM Journal of Research and Development
Machine-made index for technical literature: an experiment
IBM Journal of Research and Development
SNIF-ACT: a model of information foraging on the world wide web
UM'03 Proceedings of the 9th international conference on User modeling
An ontology-based measure to compute semantic similarity in biomedicine
Journal of Biomedical Informatics
Semantic linking through spaces for cyber-physical-socio intelligence: A methodology
Artificial Intelligence
Mnemonic convergence: from empirical data to large-scale dynamics
SBP'12 Proceedings of the 5th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Learning from natural instructions
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Improving topic evaluation using conceptual knowledge
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
The Knowledge Grid: Toward Cyber-Physical Society
The Knowledge Grid: Toward Cyber-Physical Society
Summarization of scientific documents by detecting common facts in citations
Future Generation Computer Systems
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Previous text processing techniques focus on text itself while neglecting human reading process. Therefore they are limited in special applications. This paper proposes a text scanning mechanism for generating the dynamic impressions of words in text by simulating recall, association and forget processes during reading. Experiments show that the mechanism is suitable for multiple text processing applications.