"Most current text mining (TM) approaches to extract information about biological events are focused on either limited-scale studies and/or abstracts, with data extracted lacking context and rarely available to support further research."

toyasyas のブックマーク 2013/10/29 23:42

<blockquote class="hatena-bookmark-comment"><a class="comment-info" href="https://b.hatena.ne.jp/entry/167206654/comment/toyasyas" data-user-id="toyasyas" data-entry-url="https://b.hatena.ne.jp/entry/s/www.ncbi.nlm.nih.gov/pmc/articles/PMC3413385/" data-original-href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3413385/" data-entry-favicon="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fwww.ncbi.nlm.nih.gov%2Fpmc%2Farticles%2FPMC3413385%2F" data-user-icon="/users/toyasyas/profile.png">BioContext: an integrated text mining system for large-scale extraction and contextualization of biomolecular events</a><ul class="comment-tag" style="list-style: none; margin: 0px;"><li style="float: left">[<a href="https://b.hatena.ne.jp/q/paper">paper</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/%22Text%20Mining%22">Text Mining</a>]</li></ul><br><p style="clear: left">&quot;Most current text mining (TM) approaches to extract information about biological events are focused on either limited-scale studies and/or abstracts, with data extracted lacking context and rarely available to support further research.&quot;</p><a class="datetime" href="https://b.hatena.ne.jp/toyasyas/20131029#bookmark-167206654"><span class="datetime-body">2013/10/29 23:42</span></a></blockquote><script src="https://b.st-hatena.com/js/comment-widget.js" charset="utf-8" async></script>

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