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alanakbik · May 14, 2024 · 875bf26 · 875bf26
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@@ -78,6 +78,9 @@ <h4>Latest News</h4>
                 <p>
                 <ul>
 
+		    <li>
+                        <b>14.05.2024 - New paper:</b> Our paper "<a href="https://arxiv.org/abs/2405.07609" target="_blank">NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition</a>" now on ArXiv!
+                    </li>
 		    <li>
                         <b>05.04.2024 - New research grant (IBB):</b> The Investitionsbank Berlin (IBB) approved a new research grant for a Forschungstransfer project to industry partner <a href="https://www.pikk-systems.de/index.htm" target="_blank">PIKK Systems</a>! 
                     </li>
@@ -123,6 +126,12 @@ <h4>Latest News</h4>
                 <hr/>
                 <h4>Latest Publications</h4>
 
+                <p>
+                    <b>NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition. </b>
+                    Elena Merdjanovska, Ansar Aynetdinov and Alan Akbik.
+                    <b><font color="#336699"> ArXiv, 2024. </font></b><a href="https://arxiv.org/abs/2405.07609">[pdf]</a>
+                </p>
+
                 <p>
                     <b>Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions. </b>
                     Max Dallabetta, Conrad Dobberstein, Adrian Breiding and Alan Akbik.

diff --git a/publications.html b/publications.html
@@ -53,6 +53,12 @@ <h2>Publications</h2>
                 <hr/>
                 <h4>Latest Publications (since 2024)</h4>
 
+                <p>
+                    <b>NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition. </b>
+                    Elena Merdjanovska, Ansar Aynetdinov and Alan Akbik.
+                    <b><font color="#336699"> ArXiv, 2024. </font></b><a href="https://arxiv.org/abs/2405.07609">[pdf]</a>
+                </p>
+
                 <p>
                     <b>Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions. </b>
                     Max Dallabetta, Conrad Dobberstein, Adrian Breiding and Alan Akbik.
@@ -133,7 +139,7 @@ <h4>2023</h4>
 
                 <hr/>
 
-                <h4>2022</h4>
+                <h4>2022 <small>[+ parental leave]</small> </h4>
 
                 <p>
                     <b>Task-Specific Embeddings for Ante-Hoc Explainable Text Classification. </b>
@@ -166,7 +172,7 @@ <h4>2021</h4>
 
 
                 <hr/>
-                <h4>2020</h4>
+                <h4>2020 <small>[+ parental leave]</small></h4>
 
                 <p>
                     <b>FLERT: Document-Level Features for Named Entity Recognition. </b>