Holographic Reduced Representation: Distributed Representation for Cognitive Structures
Holographic Reduced Representation: Distributed Representation for Cognitive Structures
A Comparison of Word- and Sense-Based Text Categorization Using Several Classification Algorithms
Journal of Intelligent Information Systems
Using bag-of-concepts to improve the performance of support vector machines in text categorization
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
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Current representation schemes for automatic text classification treat documents as syntactically unstructured collections of words or 'concepts'. Past attempts to encode syntactic structure have treated part-of-speech information as another word-like feature, but have been shown to be less effective than non-structural approaches. Here, we investigate three methods to augment semantic modelling with syntactic structure, which encode the structure across all features of the document vector while preserving text semantics. We present classification results for these methods versus the Bag-of-Concepts semantic modelling representation to determine which method best improves classification scores.