TBR-NER: Research on COVID-19 Text Information Extraction Based on Joint Learning of Topic Recognition and Named Entity Recognition

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Assessment method</td><td class="align_center">Exact number</td><td class="align_center">Total number</td><td class="align_center">Accuracy</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Word (unit)</td><td class="align_center">16002</td><td class="align_center">17644</td><td class="align_center">0.91</td></tr><tr><td class="align_left">Entity word (unit)</td><td class="align_center">919</td><td class="align_center">1052</td><td class="align_center">0.87</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The prediction results were analyzed and compared.</div>

Journal of Sensors

tab6

Table 6

Table 6: TBR-NER: Research on COVID-19 Text Information Extraction Based on Joint Learning of Topic Recognition and Named Entity Recognition 