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@@ -74,6 +74,7 @@ <h2 id="index-program">Program</h2>
 <tr>   <td>           </td>    <td>SCaLAR NITK at Touché: Comparative Analysis of Machine Learning Models for Human Value Identification<br><i>Praveen K, Darshan R K, Chinta Tejdeep Reddy, Anand Kumar M (online)</i></td></tr>
 <tr>   <td>           </td>    <td>Trojan Horses at Touché: Logistic Regression for Classification of Political Debates<br><i>Deepak Chandar S, Diya Seshan, Avaneesh Koushik, P Mirunalini (online)</i></td></tr>
 <tr>   <td>           </td>    <td>Pixel Phantom at Touché: Ideology and Power Identification in Parliamentary Debates using Linear SVC<br><i>Janani Hariharakrishnan, Jithu Morrison S, P Mirunalini (online)</i></td></tr>
+<tr>   <td>           </td>    <td>HALE Lab NITK at Touché 2024: A Hybrid Approach for Identifying Political Ideology and Power in Multilingual Parliamentary Speeches<br><i>Sevitha Simhadri, Mauli Mehulkumar Patel, Sowmya Kamath S (online)</i></td></tr>
 <tr>   <td>           </td>    <td>More presentations are added as they are fully confirmed</td></tr>
 <tr>   <td>17:50-18:00</td>    <td>Closing<br><i>Johannes Kiesel</i></td></tr>
 </tbody>