Parsing tweets into universal dependencies Y Liu, Y Zhu, W Che, B Qin, N Schneider, NA Smith NAACL 2018, 2018 | 85 | 2018 |
A closer look at few-shot crosslingual transfer: The choice of shots matters M Zhao, Y Zhu, E Shareghi, I Vulić, R Reichart, A Korhonen, H Schütze ACL 2021, 2021 | 58* | 2021 |
A systematic study of leveraging subword information for learning word representations Y Zhu, I Vulić, A Korhonen NAACL 2019, 2019 | 38 | 2019 |
On the importance of subword information for morphological tasks in truly low-resource languages Y Zhu, B Heinzerling, I Vulić, M Strube, R Reichart, A Korhonen CoNLL 2019, 2019 | 19 | 2019 |
Gated multimodal fusion with contrastive learning for turn-taking prediction in human-robot dialogue J Yang, P Wang, Y Zhu, M Feng, M Chen, X He ICASSP 2022, 2022 | 14 | 2022 |
Bayesian learning for neural dependency parsing E Shareghi, Y Li, Y Zhu, R Reichart, A Korhonen NAACL 2019, 2019 | 8 | 2019 |
Cross-modal transfer learning via multi-grained alignment for end-to-end spoken language understanding Y Zhu, Z Wang, H Liu, P Wang, M Feng, M Chen, X He INTERSPEECH 2022, 2022 | 6 | 2022 |
Building robust spoken language understanding by cross attention between phoneme sequence and asr hypothesis Z Wang, Y Le, Y Zhu, Y Zhao, M Feng, M Chen, X He ICASSP 2022, 2022 | 5 | 2022 |
Combining deep generative models and multi-lingual pretraining for semi-supervised document classification Y Zhu, E Shareghi, Y Li, R Reichart, A Korhonen EACL 2021, 2021 | 4 | 2021 |
Generating Semantically Valid Adversarial Questions for TableQA Y Zhu, Y Zhou, M Xia AAAI 2021 Workshop: Towards Robust, Secure and Efficient Machine Learning, 2021 | 4 | 2021 |
OntoPDF: using a text mining pipeline to generate enriched pdf versions of scientific papers Y Zhu, F Rinaldi SMBM 2014, 2014 | 1 | 2014 |
Dependency Parsing for Tweets Y Zhu University of Washington, 2017 | | 2017 |