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Found 5 papers, 0 papers with code
Performance of Stanford and Minipar Parser on Biomedical Texts
The performance of te parsers to assignm dependencies between two biomedical concepts that are already proved to be connected is not satisfying.
Semi-supervised Classification for Natural Language Processing
This study explores the possibilities and achievements as well as complexity and limitations of semi-supervised classification for several natural langue processing tasks like parsing, biomedical information processing, text classification, and summarization.
Extracting Information-rich Part of Texts using Text Denoising
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, especially from the biomedical domain.
Extracting Connected Concepts from Biomedical Texts using Fog Index
We rank sentences of a text according to their FI and select 30 percent of the most difficult sentences.
Corpus-based Web Document Summarization using Statistical and Linguistic Approach
Single document summarization generates summary by extracting the representative sentences from the document.
