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@@ -28,7 +28,7 @@ <h1>AMR Bibliography</h1>
     <div class="column" style="text-align: center; flex: 45%;">
       <div class='instructions'>
         <h3>Explore the research on AMR</h3>    
-        <p>The <big style="color: #a49;"><b>360</b></big> entries in the table below are sortable by column.<br/>
+        <p>The <big style="color: #a49;"><b>361</b></big> entries in the table below are sortable by column.<br/>
           You can highlight rows by topic (click on a topic <span class="math">TAG</span> in the last column).<br/>
           The main topics are:</p>
       </div>
@@ -140,7 +140,7 @@ <h3>Explore the research on AMR</h3>
 },
 {
 label: 'Parsing',
-                data: [0, 1, 2, 9, 15, 18, 13, 12, 19, 22, 14, 5],
+                data: [0, 1, 2, 9, 15, 18, 13, 12, 19, 23, 14, 5],
                 backgroundColor: '#88CCEE'
 },
 {
@@ -4159,6 +4159,17 @@ <h3>Explore the research on AMR</h3>
                 <td><button topic="amr extensions" on="0">AMR Extensions</button> <button topic="annotation" on="0">Annotation</button></td>
             </tr>
 
+            <tr>
+                <td>361</td>
+                <td>From text to graph: a general transition-based AMR parsing using neural network </td>
+                <td><span style="display:none;">Gu</span>Min Gu, Yanhui Gu, Weilan Luo, Guandong Xu, Zhenglu Yang, Junsheng Zhou, Weiguang Qu</td>
+                <td>Neural Computing and Applications</td>
+                <td>2021</td>
+                <td><a href="https://dl.acm.org/doi/abs/10.1007/s00521-020-05378-5" target="_blank">pdf</a></td>
+                <td></td>
+                <td><button topic="parsing" on="0">Parsing</button></td>
+            </tr>
+
 </tbody>
 </table>