A Multigranularity Text Driven Named Entity Recognition CGAN Model for Traditional Chinese Medicine Literatures

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Combination strategies</td><td class="align_center">F1 (%)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Sentence &amp; paragraph</td><td class="align_center">69.49</td></tr><tr><td class="align_left">Sentence &amp; paragraph &amp;chapter</td><td class="align_center">71.25</td></tr><tr><td class="align_left">Character &amp; sentence</td><td class="align_center">74.86</td></tr><tr><td class="align_left">Character &amp; paragraph</td><td class="align_center">73.17</td></tr><tr><td class="align_left">Character &amp; sentence &amp; paragraph</td><td class="align_center">76.48</td></tr><tr><td class="align_left">Character &amp; sentence &amp; paragraph &amp; chapter</td><td class="align_center">77.35</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Experimental results of different combination strategies.</div>

Computational Intelligence and Neuroscience

tab5

Table 5

Table 5: A Multigranularity Text Driven Named Entity Recognition CGAN Model for Traditional Chinese Medicine Literatures 