Ahmet Ustun
Ahmet Ustun
Cohere For AI
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Cited by
Cited by
UDapter: Language Adaptation for Truly Universal Dependency Parsing
A Üstün, A Bisazza, G Bouma, G van Noord
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Massive choice, ample tasks (MaChAmp): A toolkit for multi-task learning in NLP
R van der Goot, A Üstün, A Ramponi, I Sharaf, B Plank
arXiv preprint arXiv:2005.14672, 2020
Characters or morphemes: How to represent words?
A Üstün, M Kurfalı, B Can
Association for Computational Linguistics, 2018
Multilingual unsupervised neural machine translation with denoising adapters
A Üstün, A Berard, L Besacier, M Gallé
arXiv preprint arXiv:2110.10472, 2021
Siti Oryza Khairunnisa, Mamoru Komachi, and Barbara Plank. 2021. From masked language modeling to translation: Non-English auxiliary tasks improve zero-shot spoken language …
R Van Der Goot, I Sharaf, A Imankulova, A Üstün, M Stepanovic, ...
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
Unsupervised morphological segmentation using neural word embeddings
A Üstün, B Can
Statistical Language and Speech Processing: 4th International Conference …, 2016
Automatic Judgement Forecasting for Pending Applications of the European Court of Human Rights.
M Medvedeva, A Üstün, X Xu, M Vols, M Wieling
ASAIL/LegalAIIA@ ICAIL, 12-23, 2021
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer
A Üstün, A Bisazza, G Bouma, G van Noord, S Ruder
arXiv preprint arXiv:2205.12148, 2022
Turkish pos tagging by reducing sparsity with morpheme tags in small datasets
B Can, A Üstün, M Kurfalı
Computational Linguistics and Intelligent Text Processing: 17th …, 2018
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding
R van der Goot, I Sharaf, A Imankulova, A Üstün, M Stepanović, ...
arXiv preprint arXiv:2105.07316, 2021
Unsupervised Translation of German--Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language
L Edman, A Üstün, A Toral, G van Noord
arXiv preprint arXiv:2109.12012, 2021
Multi-Team: A Multi-attention, Multi-decoder Approach to Morphological Analysis.
A Üstün, R van der Goot, G Bouma, G van Noord
Proceedings of the 16th Workshop on Computational Research in Phonetics …, 2019
There and Back Again: Cross-Lingual Transfer Learning for Event Detection.
T Caselli, A Üstün
CLiC-it, 2019
On the Difficulty of Translating Free-Order Case-Marking Languages
A Bisazza, A Üstün, S Sportel
Transactions of the Association for Computational Linguistics 9, 1233-1248, 2021
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale
M Marion, A Üstün, L Pozzobon, A Wang, M Fadaee, S Hooker
arXiv preprint arXiv:2309.04564, 2023
Intriguing Properties of Quantization at Scale
A Ahmadian, S Dash, H Chen, B Venkitesh, S Gou, P Blunsom, A Üstün, ...
arXiv preprint arXiv:2305.19268, 2023
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
T Zadouri, A Üstün, A Ahmadian, B Ermiş, A Locatelli, S Hooker
arXiv preprint arXiv:2309.05444, 2023
UDapter: Typology-based Language Adapters for Multilingual Dependency Parsing and Sequence Labeling
A Üstün, A Bisazza, G Bouma, G Noord
Computational Linguistics 48 (3), 555-592, 2022
Incorporating word embeddings in unsupervised morphological segmentation
A Üstün, B Can
Natural Language Engineering 27 (5), 609-629, 2021
On the Effectiveness of Dataset Embeddings in Mono-lingual, Multi-lingual and Zero-shot Conditions
R van der Goot, A Üstün, B Plank
arXiv preprint arXiv:2103.01273, 2021
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