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

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Label seed feature</td><td class="align_center">F1 (%)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Random</td><td class="align_center">75.16</td></tr><tr><td class="align_left">Reflect entity distribution of different types of TCM text</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>Comparison of using the seed of entity distribution features or not.</div>

Computational Intelligence and Neuroscience

tab6

Table 6

Table 6: A Multigranularity Text Driven Named Entity Recognition CGAN Model for Traditional Chinese Medicine Literatures 