Update README.md

README.md

@@ -48,6 +48,7 @@ task_ids: []
 
 - **Repository:** [Github](https://github.com/neulab/contextual-mt/tree/master/data/scat)
 - **Original Paper:** [ACL 2021](https://aclanthology.org/2021.acl-long.65/)
+- **SCAT+ Paper:** [ICLR 2024](https://openreview.net/forum?id=XTHfNGI3zT)
 - **Improved Version:** [ArXiv](https://arxiv.org/abs/2310.01188)
 - **Point of Contact:** [Kayo Yin](mailto:kayoyin@berkeley.edu)
 
@@ -55,7 +56,7 @@ task_ids: []
 
 The Supporting Context for Ambiguous Translations corpus (SCAT) is a dataset of English-to-French translations annotated with human rationales used for resolving ambiguity in pronoun anaphora resolution for multi-sentence translation.
 
-**Disclaimer**: *The SCAT corpus was released in the ACL 2021 paper ["Do Context-Aware Translation Models Pay the Right Attention?"](https://aclanthology.org/2021.acl-long.65/) by Yin et al. (2021), and an original version of the corpus is hosted on [Github](https://github.com/neulab/contextual-mt/tree/master/data/scat) with no licensing information. This dataset contains a curated version of the original corpus where examples containing nested or malformed tags were removed (refer to the [filter_scat.py](filter_scat.py) script for more details).*
+**Disclaimer**: *The SCAT corpus was released in the ACL 2021 paper ["Do Context-Aware Translation Models Pay the Right Attention?"](https://aclanthology.org/2021.acl-long.65/) by Yin et al. (2021), and an original version of the corpus is hosted on [Github](https://github.com/neulab/contextual-mt/tree/master/data/scat) with no licensing information. This dataset contains a curated version of the original corpus (SCAT+, from [Sarti et al. (2024)](https://openreview.net/forum?id=XTHfNGI3zT)) where examples containing nested or malformed tags were removed (refer to the [filter_scat.py](filter_scat.py) script for more details).*
 
 ### Supported Tasks and Leaderboards
 #### Machine Translation
@@ -135,8 +136,11 @@ The original authors of SCAT are the curators of the original released dataset.
 The dataset license is unknown.
 
 ### Citation Information
+
 Please cite the authors if you use these corpus in your work.
 
+#### Original SCAT corpus
+
 ```bibtex
 @inproceedings{yin-etal-2021-context,
     title = "Do Context-Aware Translation Models Pay the Right Attention?",
@@ -155,4 +159,22 @@ Please cite the authors if you use these corpus in your work.
     doi = "10.18653/v1/2021.acl-long.65",
     pages = "788--801",
 }
+```
+
+#### SCAT+ (This version)
+
+```bibtex
+@inproceedings{sarti-etal-2023-quantifying,
+    title = "Quantifying the Plausibility of Context Reliance in Neural Machine Translation",
+    author = "Sarti, Gabriele and 
+        Chrupa{\l}a, Grzegorz and 
+        Nissim, Malvina and
+        Bisazza, Arianna",
+    booktitle = "The Twelfth International Conference on Learning Representations (ICLR 2024)",
+    month = may,
+    year = "2024",
+    address = "Vienna, Austria",
+    publisher = "OpenReview",
+    url = "https://openreview.net/forum?id=XTHfNGI3zT"
+}
 ```