6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2014★ 6 cited
Semi-supervised Classification for Natural Language Processing
Rushdi Shams
Semi-supervised classification is an interesting idea where classification models are learned from both labeled and unlabeled data. It has several advantages over supervised classi…
cs.CL2014★ 1 cited
Performance of Stanford and Minipar Parser on Biomedical Texts
Rushdi Shams
In this paper, the performance of two dependency parsers, namely Stanford and Minipar, on biomedical texts has been reported. The performance of te parsers to assignm dependencies…
cs.IR2013
Extracting Information-rich Part of Texts using Text Denoising
Rushdi Shams
The aim of this paper is to report on a novel text reduction technique, called Text Denoising, that highlights information-rich content when processing a large volume of text data,…