Automatic recognition of conceptualization zones in scientific articles and two life science applications.

ABSTRACT:

Motivation

Scholarly biomedical publications report on the findings of a research investigation. Scientists use a well-established discourse structure to relate their work to the state of the art, express their own motivation and hypotheses and report on their methods, results and conclusions. In previous work, we have proposed ways to explicitly annotate the structure of scientific investigations in scholarly publications. Here we present the means to facilitate automatic access to the scientific discourse of articles by automating the recognition of 11 categories at the sentence level, which we call Core Scientific Concepts (CoreSCs). These include: Hypothesis, Motivation, Goal, Object, Background, Method, Experiment, Model, Observation, Result and Conclusion. CoreSCs provide the

SUBMITTER: Liakata M 

PROVIDER: S-EPMC3315721 | biostudies-literature | 2012 Apr

REPOSITORIES: biostudies-literature