Abstract
This works presents an application of semantic compression where domain frequency dictionaries are used to augment comprehension of documents. This is achieved by incorporating user’s feedback into proposed solution. Experiments and examples of actual output are given. Moreover, a measure that allows for evaluation of changes in a structure of available groups is defined and presented.
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Ceglarek, D., Haniewicz, K., Rutkowski, W. (2011). Domain Based Semantic Compression for Automatic Text Comprehension Augmentation and Recommendation. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23938-0_5
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DOI: https://doi.org/10.1007/978-3-642-23938-0_5
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