Duygu Ataman
Duygu Ataman
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Congratulations to undergraduate Computer Science students Grace Wang (NYU, Dean’s Undergraduate Research Scholar) and Tia Chen (Tufts University, research scholar at NYU Pathways to AI Program) for getting their paper accepted at the Eval4NLP Workshop at IJCNLP-AACL 2023. Their research project investigates how linguistic typology affects the applicability of evaluation metrics for generative models in different languages.
Last updated on Oct 12, 2023
1 min read
I was selected as one of the principal investigator awardees of the Microsoft Accelerating Foundation Models Research Program. The project will be conducted in collaboration with ACL SIGTURK and will investigate novel methods for improving accessibility to foundation models in low-resourced languages.
Last updated on Sep 29, 2023
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I will be serving as an Area Chair in the area of “Less-resourced/Endangered/Less-studied Languages” track at LREC-COLING 2024.
Last updated on Sep 29, 2023
1 min read
The 3rd Workshop on Multilingual Representation Learning will feature a new shared task on Multilingual Multi-task Information Retrieval, in collaboration with the XTREME-UP benchmark project. More information is available on the website.
Last updated on Jul 13, 2023
1 min read
I will be visiting NYU Abu Dhabi from April 17 to 21, 2023, in order to share our recent research and collaborate with Prof. Dr. Nizar Habash’s research group.
Last updated on Apr 13, 2023
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The 3rd edition of the Workshop on Multilingual Representation Learning will be co-located with EMNLP 2023 in Singapore.
Last updated on Feb 15, 2023
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The program of the 2nd edition of the Multilingual Representation Learning Workshop is now published and can be accessed through the website.
Last updated on Nov 26, 2022
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I will be serving as an Area Chair in the area of “Machine Translation” at EACL 2022.
Last updated on Nov 26, 2022
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Our recent study ‘Logographic Information Aids Learning Better Representations for Natural Language Inference’ will appear at the Findings of AACL-IJCNLP 2022. The paper shows the significance of logographic information on improving the quality of learned semantic information in language model representations and how it can help better solve semantic inference tasks.
Last updated on Oct 26, 2022
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I will be giving an invited talk at WAT2022, the 9th Workshop on Asian Translation collocated with COLING, on October 17th 2022.
Last updated on Sep 4, 2022
1 min read
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