[gate-cvs] SF.net SVN: gate:[20394] gate/trunk/doc

[<gat...@us...>]

Revision: 20394
          http://sourceforge.net/p/gate/code/20394
Author:   gate-project
Date:     2023-08-07 10:07:48 +0000 (Mon, 07 Aug 2023)
Log Message:
-----------
[diana] another publication

Modified Paths:
--------------
    gate/trunk/doc/papers.html
    gate/trunk/doc/papers.yam

Modified: gate/trunk/doc/papers.html
===================================================================
--- gate/trunk/doc/papers.html	2023-05-24 20:31:21 UTC (rev 20393)
+++ gate/trunk/doc/papers.html	2023-08-07 10:07:48 UTC (rev 20394)
@@ -94,6 +94,9 @@
 <li>G. Gorrell, X. Song and A. Roberts. Bio-YODIE: A Named Entity Linking System for Biomedical Text. arXiv:1811.04860, 2018 <a class="cow-url" href="https://arxiv.org/abs/1811.04860">arXiv</a></li>
 </ul>
 <h2 class="cow-heading">2023</h2><h3 class="cow-heading">Forthcoming / Accepted</h3>
+<ul>
+<li>Ye Jiang; Xiaomin Yu; Yimin Wang; Xiaoman Xu; Xingyi Song; Diana Maynard. Similarity-Aware Multimodal Prompt Learning for Fake News Detection. Journal of Information Sciences (accepted)</li>
+</ul>
 <h3 class="cow-heading">Conference papers</h3>
 <ul>
 <li>Yida Mu, Kalina Bontcheva, and Nikolaos Aletras. &quot;It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits.&quot; EACL Findings (2023). <a class="cow-url" href="https://arxiv.org/abs/2302.03147">https://arxiv.org/abs/2302.03147</a></li>

Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam	2023-05-24 20:31:21 UTC (rev 20393)
+++ gate/trunk/doc/papers.yam	2023-08-07 10:07:48 UTC (rev 20394)
@@ -43,6 +43,7 @@
 
 %2* 2023
 %3* Forthcoming / Accepted
+- Ye Jiang; Xiaomin Yu; Yimin Wang; Xiaoman Xu; Xingyi Song; Diana Maynard. Similarity-Aware Multimodal Prompt Learning for Fake News Detection. Journal of Information Sciences (accepted)
 
 %3* Conference papers
 - Yida Mu, Kalina Bontcheva, and Nikolaos Aletras. "It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits." EACL Findings (2023). %(https://arxiv.org/abs/2302.03147)

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