Sentence examples for mesh profiles from inspiring English sources

Our expanded approach using MeSH Profiles provides an added boost to the summarization performance compared with our MeSH term-based strategies.

The similarity analysis and the inspection of the MeSH profiles yielded a low overlap between the two MI related corpora, which challenges the approach used to define them.

From these, we determined that (on average) MeSH profiles of top 5 and 10 free-text terms are the most interesting.

Additionally, the MeSH profiles were inspected qualitatively by reading the terms and identifying concepts, which describe the aspects, these terms have in common (e.g. "DNA", "Genes", "Sequence alignment" could be summarized by the concept "Molecular Biology").

More specifically, these summaries correspond to the summaries evaluated using ROUGE in the MEAD Random, MEAD True, MeSH Term and MeSH Profiles (VL) columns of Tables 2 and 6.

Mining term associations using topical annotations has a long history, (31) who looked at evidence to support a therapeutic relation between Curcumin Longa and retinal diseases based on MeSH profiles in the literature.

We explore two approaches: MeSH Term and MeSH Profile approaches.

The highest overlap was between the MeSH Term and MeSH Profile (VL) strategies (29%) with the second highest between MeSH Profile (VL) and MEAD True (only 7%) strategies.

For obvious reasons, Abstract sentences were found to be most important followed by MeSH profile- and MeSH term-based sentences.

The MeSH term-based and MeSH profile-based summaries perform better than the MEAD True and MEAD Random summaries.

In each case, we looked at errors made by MeSH profile-based strategy (variable length) and those made by MEAD True strategies.