This paper describes a hybrid, two-level approach for resolving hedge cues, the problem of the CoNLL 2010 shared task. First, a maximum entropy classifier is applied to identify cue words, using both syntacticand surface-oriented features. Second, a set of manually crafted rules, operating on dependency representations and the output of the classifier, is applied to resolve the scope of the hed...

Impetuous development of artificial neural networks makes it possible to transfer many ideas from this area into adjacent areas. This work investigates an opportunity of mapping learning classifier systems (LCS) into artificial neural networks (ANN). Possible learning types for hybrid connectionist classifier system (CLCS) for multi-step problems are derived. Transformation’s opportunity of the...

Hyperspectral image classification plays a vital role in today’s era. Identifying the suitable classifier and dimensionality reduction method is a chronic task for the Hyperspectral Image Classification on par with high accuracy and reliability. Image classification using multiple classifier system has been said to be evolving method for improving the accuracy and the reliability. The problems ...

Abstract In the era of Large Language Models, there is still potential for improvement in current Natural Processing (NLP) methods terms verifiability and consistency. NLP classical approaches are computationally expensive due to their high-power consumption, computing power, storage requirements. Another efficient approach categorical quantum mechanics, which combines grammatical structure ind...