| 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 | 62 | 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 | 45 | 2020 |
| Characters or morphemes: How to represent words? A Üstün, M Kurfalı, B Can Association for Computational Linguistics, 2018 | 35 | 2018 |
| Multilingual unsupervised neural machine translation with denoising adapters A Üstün, A Berard, L Besacier, M Gallé arXiv preprint arXiv:2110.10472, 2021 | 22 | 2021 |
| Unsupervised morphological segmentation using neural word embeddings A Üstün, B Can International Conference on Statistical Language and Speech Processing, 43-53, 2016 | 14 | 2016 |
| Turkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets B Can, A Üstün, M Kurfalı International Conference on Intelligent Text Processing and Computational …, 2016 | 11 | 2016 |
| 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 …, 0 | 11 | |
| 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, 2021 | 7 | 2021 |
| 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 | 6 | 2021 |
| 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 | 5 | 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 | 5 | 2019 |
| 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 | 4 | 2022 |
| 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 | 4 | 2021 |
| There and Back Again: Cross-Lingual Transfer Learning for Event Detection. T Caselli, A Üstün CLiC-it, 2019 | 3 | 2019 |
| Incorporating word embeddings in unsupervised morphological segmentation A Üstün, B Can Natural Language Engineering 27 (5), 609-629, 2021 | 2 | 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 | 2 | 2021 |
| FiSSA at SemEval-2020 Task 9: Fine-tuned For Feelings B Braaksma, R Scholtens, S van Suijlekom, R Wang, A Üstün arXiv preprint arXiv:2007.12544, 2020 | 2 | 2020 |
| A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation M Kurfalı, A Üstün, B Can International Conference on Computational Linguistics and Intelligent Text …, 2017 | 2 | 2017 |
| 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 | 1 | 2022 |
| When does Parameter-Efficient Transfer Learning Work for Machine Translation? A Üstün, AC Stickland arXiv preprint arXiv:2205.11277, 2022 | 1 | 2022 |
rob van der gootPostdoc IT university of CopenhagenVerified email at itu.dk
