Update README.md

NER results for CAS dataset updated

README.md

@@ -90,15 +90,63 @@ The model has been evaluted in the following downstream tasks
 ## Biomedical Named Entity Recognition (NER)
 The model is evaluated on two (CAS and QUAERO) publically available Frech biomedical text.
 #### CAS dataset
-|Models | CamemBERT|   |   | AliBERT |   |   | AliBERT-ELECTRA |   |   |
-|:-----:|:--------:|:-:|:-:|:-------:|:-:|:-:|:---------------:|:-:|:-:|
-|Entities| P | R |  F1  | P |   R  |  F1  | P  |  R  |   F1 |
-|Substance| **0.96** | 0.87 | 0.91 | **0.96** | **0.91**| **0.93** | 0.95  | 0.91 |0.93|
-|Symptom  | 0.89 | 0.91 | 0.90 | **0.96** | **0.98** | **0.97**| 0.94 | **0.98** | 0.96|
-|Anatomy | 0.94 | 0.91 | 0.88 | **0.97**| **0.97**| **0.98**| 0.96 | **0.97**| 0.96 |
-|Value | 0.88 | 0.46 | 0.60 | **0.98**| **0.99**| **0.98**| 0.93 | 0.93 |	0.93|
-|Pathology | 0.79 | **0.70**| **0.74**| **0.81**| 0.39 | 0.52 | 0.85	| 0.57 | 0.68|
-|Macro Avg | 0.89   | 0.79 | 0.81 |  **0.94**| 0.85 | 0.88 |  0.92 |  **0.87**| **0.89**|
+
+<style type="text/css">
+.tg  {border-collapse:collapse;border-spacing:0;}
+.tg .tg-baqh{text-align:center;vertical-align:top}
+.tg .tg-0lax{text-align:center;vertical-align:top}
+</style>
+<table class="tg">
+<thead>
+  <tr>
+    <th>Models</th>
+    <th class="tg-0lax" colspan="3">CamemBERT</th>
+    <th class="tg-0lax" colspan="3">AliBERT</th>
+    <th class="tg-0lax" colspan="3">DrBERT</th>
+  </tr>
+</thead>
+<tbody>
+  <tr>
+    <td>Entities</td>
+    <td>P<br></td>
+    <td>R</td>
+    <td>F1</td>
+    <td>P<br></td>
+    <td>R</td>
+    <td>F1</td>
+    <td>P<br></td>
+    <td>R</td>
+    <td>F1</td>
+  </tr>
+  <tr>
+    <td>Substance</td>
+    <td>0.96</td>
+    <td>0.87</td>
+    <td>0.91</td>
+    <td>0.96</td>
+    <td>0.91</td>
+    <td>0.93</td>
+    <td>0.95</td>
+    <td>0.91</td>
+    <td>0.93</td>
+  </tr>
+  <tr>
+    <td>Symptom</td> <td>0.89</td> <td>0.91</td> <td>0.90</td> <td>0.96</td> <td>0.98</td> <td>0.97</td> <td>0.94</td> <td>0.98</td> <td>0.96</td>
+  </tr>
+  <tr>
+    <td>Anatomy</td> <td>0.94</td> <td>0.91</td> <td>0.88</td> <td>0.97</td> <td>0.97</td> <td>0.98</td> <td>0.96</td> <td>0.97</td> <td>0.96 </td>
+  </tr>
+  <tr>
+    <td>Value</td> <td>0.88</td> <td>0.46</td> <td>0.60</td> <td>0.98</td> <td>0.99</td> <td>0.98</td> <td>0.93</td> <td>0.93</td> <td>	0.93</td>
+  </tr>
+  <tr>
+   <td> Pathology</td> <td>0.79</td> <td>0.70</td> <td>0.74</td> <td>0.81</td> <td>0.39</td> <td>0.52</td> <td>0.85	<td>0.57</td> <td>0.68</td>
+  </tr>
+  <tr>
+    <td>Macro Avg</td> <td>0.89  </td> <td>0.79</td> <td>0.81</td> <td> 0.94</td> <td>0.85</td> <td>0.88</td> <td> 0.92</td> <td> 0.87</td> <td>0.89</td>  
+  </tr>
+</tbody>
+</table>
 *Table 2: NER performances on CAS*
 
 ##AliBERT: A Pre-trained Language Model for French Biomedical Text