Biomedical relation extraction aims to uncover high‐quality relations from life science
literature with high accuracy and efficiency. Early biomedical relation extraction tasks …

Research on extracting biomedical relations has received growing attention recently, with
numerous biological and clinical applications including those in pharmacogenomics, clinical …

Motivation: Discovering useful associations between biomedical concepts has been one of
the main goals in biomedical text-mining, and understanding their biomedical contexts is …

This paper presents the preparation, results and analysis of the BioNLP'09 shared task on
event extraction, organized to address the automatic extraction of fine‐grained information …

A variety of query systems have been developed for interrogating parsed corpora, or
treebanks. With the arrival of efficient, widecoverage parsers, it is feasible to create very …

We know that fewer women than men choose to begin college in an engineering major, but
is there a difference in the graduation rates of male and female engineering students? Is the …

OBJECTIVE: Biomedical events extraction concerns about events describing changes on
the state of bio-molecules from literature. Comparing to the protein–protein interactions …

In this paper we explore the identification of negated molecular events (eg protein binding,
gene expressions, regulation, etc.) in biomedical research abstracts. We construe the …

An important task in biological information extraction is to identify descriptions of biological
relations and events involving genes or proteins. In this work, we propose a graph‐based …

Background This work describes a system for identifying event mentions in bio-molecular
research abstracts that are either speculative (eg analysis of IkappaBalpha phosphorylation …