Supervised learning typically requires human effort to label a large number of training instances. Active learning strives to decrease the number of labeled training examples needed by actively engaging the learner and the human in an interactive process. Active learning has proven to be effective in many domains. With few training examples, past work has found that user prior knowledge on the ...

recently tasks, as the basic units of syllabi, and the cognitive complexity, as the criterion for sequencing them, have caught many second language researchers’ attention. this study sought to explore the effect of utilizing the cognitively simple and complex tasks on high- and low-proficient efl iranian writers’ linguistic performance, i.e., fluency, accuracy, lexical complexity, and structura...

We revisit the complexity of one of the most basic problems in pattern matching. In the k-mismatch problem we must compute the Hamming distance between a pattern of length m and every m-length substring of a text of length n, as long as that Hamming distance is at most k. Where the Hamming distance is greater than k at some alignment of the pattern and text, we simply output “No”. We study this...

This study aimed to investigate whether there is any significant relationship between the readability and vocabulary profile including the most frequent words (K1 words) and academic word list (AWL) of reading passages of Four Corners series which were EFL textbooks. To determine the readability of the texts, the Flesch–Kincaid (1975) readability test was used, while the texts' academic word li...

evaluative and comparative analysis among educational projects remains an issue for administration, program directors, instructors, and educational institutes. this study reports a fuzzy complexity model for educational projects, which has two primary aspects (technical aspects and transparency aspects). these aspects may not be measured precisely due to uncertain situations. therefore, a fuzzy...

The rapid increase in the amount of textual data has brought forward a growing research interest towards mining text to detect deviations. Specialized methods for specific domains have emerged to satisfy various needs in discovering rare patterns in text. This paper focuses on a graph-based approach for text representation and presents a novel error tolerance dissimilarity algorithm for deviati...

Conceptual/Integrative complexity is a construct developed in political psychology and clinical psychology to measure an individual’s ability to consider different perspectives on a particular issue and reach a justifiable conclusion after consideration of said perspectives. Integrative complexity (IC) is usually determined from text through manual scoring, which is timeconsuming, laborious and...

Automatic extraction of biological network information is one of the most desired and most complex tasks in biological and medical text mining. Track 4 at BioCreative V attempts to approach this complexity using fragments of large-scale manually curated biological networks, represented in Biological Expression Language (BEL), as training and test data. BEL is an advanced knowledge representatio...