Graphical protocol analysis (GPA) is a novel method for studying chunk-based cognitive performance using semiautomated analysis of a temporal chunk signal in writing protocols. This study applies GPA to the writing of mathematical equations by participants with different levels of expertise. Multiple levels of competence can be distinguished on a single individual and single task basis.

In this paper we present a chunk based keyphrase extraction method for scientific articles. Different from most previous systems, supervised machine learning algorithms are not used in our system. Instead, document structure information is used to remove unimportant contents; Chunk extraction and filtering is used to reduce the quantity of candidates;

This paper proposes a method for generating classifiers from large datasets by building a committee of simple base classifiers using a standard boosting algorithm. It permits the processing of large datasets even if the underlying base learning algorithm cannot efficiently do so. The basic idea is to split incoming data into chunks and build a committee based on classifiers built from these ind...

Modern analytical systems must process streaming data and correctly respond to distribution changes. The phenomenon of changes in distributions is called concept drift , it may harm the quality used models. Additionally, possibility appearance causes that algorithms be ready for continuous adaptation model changing distributions. This work focuses on non-stationary stream classification, where ...

A model of the processes involved in the graphical production of chunks form memory is proposed. The primary processing constraints of the model are (a) serial processing (b) over a hierarchical structure of chunks (c) in a depth first manner. The model makes predictions about the relative durations of each individual pause that occurs between successive writing or drawing actions based on the ...

This paper describes the design and evaluation of a part-ofspeech tagger and chunk parser for spoken Dutch, using support vector machines. The data in the Corpus Gesproken Nederlands is split into smaller sub problems to obtain reasonable training and tagging speed using various kernel types. The tagger combines good accuracy with reasonable tagging speed. The chunk parser shows good accuracy, ...