Background Manually annotated corpora are critical for the training and evaluation of
automated methods to identify concepts in biomedical text. Results This paper presents the …

We have designed and implemented an information extraction system using a full parser to
investigate the plausibility of full analysis of text using general-purpose parser and grammar …

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OBJECTIVE:: Support vector machines (SVMs) have achieved state-of-the-art performance
in several classification tasks. In this article we apply them to the identification and semantic …

Improving information retrieval is one of the central goals of annotation. However, without
clear guidelines, annotation risks producing incoherent information. The author …

The rapid growth of the biological text data repository makes it difficult for human beings to
access required information in a convenient and effective manner. The problem arises due …

The immense volume of data which is now available from experiments in molecular biology
has led to an explosion in reported results most of which are available only in unstructured …

Classifier ensembling approach is considered for biomedical named entity recognition task.
A vote-based classifier selection scheme having an intermediate level of search complexity …

Named entity recognition aims to classify words in a document into pre-defined target entity
classes. It is now considered to be fundamental for many natural language processing tasks …

This paper describes a Natural language processing system developed for automatic
identification of explicit connectives, its sense and arguments. Prior work has shown that the …