Deep Transfer Learning for Question Classification Based on Semantic Information Features of Category Labels

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Domain</td><td class="align_center">Category 1</td><td class="align_center">Category 2</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">A</td><td class="align_center">Society</td><td class="align_center">Science</td></tr><tr><td class="align_left">B</td><td class="align_center">Computers</td><td class="align_center">Business</td></tr><tr><td class="align_left">C</td><td class="align_center">Health</td><td class="align_center">Politics</td></tr><tr><td class="align_left">D</td><td class="align_center">Education</td><td class="align_center">Entertainment</td></tr><tr><td class="align_left">E</td><td class="align_center">Sports</td><td class="align_center">Relationships</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The domain division of the experimental dataset.</div>

Computational Intelligence and Neuroscience

tab2

Table 2

Table 2: Deep Transfer Learning for Question Classification Based on Semantic Information Features of Category Labels 