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. 2015 Jun 15;15(Suppl 2):S2. doi: 10.1186/1472-6947-15-S2-S2

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Copyright © 2015 Moen et al.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Training the RI-Note model. Word w₄'s context vector, $\vec{C w_{4}}$ , is updated by adding the index vector $\vec{I n o t e_{2}}$ of the note it is part of. The same update is applied to all other words in the note. As a result, context vectors for words co-occurring in the same note become more similar.