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The most common approach in text mining classification tasks is to rely on features like words, part-of-speech tags, stems, or some other high-level linguistic features. Recently, an approach that use...
Idiomatic expressions are plentiful in everyday language, yet they remain mysterious, as it is not clear exactly how people learn and understand them. They are of special interest to linguists, psycho...
Experimental tests of a hierarchical model of word identification.
Preliminary letter identification in the perception of words and nonwords.
We present a maximum-entropy based system incorporating a diverse set of features for identifying genes and proteins in biomedical abstracts. This system was entered in the BioCreative comparative eva...
Background: Good automatic information extraction tools offer hope for automatic processing of the exploding biomedical literature, and successful named entity recognition is a key component for such ...
The fruitless gene (fru) encodes a set of transcription factors (Fru) that display sexually dimorphic gene expression in the brain of the fruit-fly; Drosophila melanogaster. Behavioural studies have d...
We propose a Random-Forest based sign language identification system. The system uses low-level visual features and is based on the hypothesis that sign languages have varying distributions of phoneme...
Messenger ribonucleic acids (RNAs) contain a large number of cis-regulatory RNA elements that function in many types of post-transcriptional regulation. These cis-regulatory elements are often charact...
Comparison of SRCL binding to neutrophil and milk lactoferrin indicates that the binding is dependent on cell-specific glycosylation in the neutrophils, as the milk form of the glycoprotein is a mu...
This study investigates the effect of Iranian EFL students' proficiency level on their ability in identifying paragraph boundaries of unparagraphed expository texts and in producing paragraph boundari...
This paper describes a system that improves automatic ARPABET transcription by addressing performance issues resulting from Arabic and Russian transliteration in English text. Our system is called EAR...

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