ZORA Publikationsliste

Publikationen

• Miceli Barone, A. V., Birch, A., & Sennrich, R. (2022, May). Distributionally Robust Recurrent Decoders with Random Network Distillation Proceedings of the 7th Workshop on Representation Learning for NLP, Dublin. https://aclanthology.org/2022.repl4nlp-1.1
• Vamvas, J., & Sennrich, R. (2022). As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning 490–500. https://aclanthology.org/2022.acl-short.53/
• Zhang, B., Haddow, B., & Sennrich, R. (2022). Revisiting End-to-End Speech-to-Text Translation From Scratch 162, 26193–26205. https://proceedings.mlr.press/v162/zhang22i.html
• Vamvas, J., & Sennrich, R. (2021, November 11). Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Online and in Punta Cana. https://aclanthology.org/2021.emnlp-main.803/
• Vamvas, J., & Sennrich, R. (2021, November 11). On the Limits of Minimal Pairs in Contrastive Evaluation Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, Online and in Punta Cana. https://aclanthology.org/2021.blackboxnlp-1.5/
• Li, J., Ataman, D., & Sennrich, R. (2021). Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models 8556–8562. https://aclanthology.org/2021.emnlp-main.673
• Amrhein, C., & Sennrich, R. (2021). How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology? 689–705. https://aclanthology.org/2021.findings-emnlp.60
• Emelin, D., & Sennrich, R. (2021). Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution 8517–8532. https://aclanthology.org/2021.emnlp-main.670
• Voita, E., Sennrich, R., & Titov, I. (2021). Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT 8478–8491. https://aclanthology.org/2021.emnlp-main.667
• Zhang, B., Titov, I., & Sennrich, R. (2021). Sparse Attention with Linear Units 6507–6520. https://aclanthology.org/2021.emnlp-main.523
• Tang, G., Rönchen, P., Sennrich, R., & Nivre, J. (2021). Revisiting Negation in Neural Machine Translation Transactions of the Association for Computational Linguistics, 9, 740–755. https://doi.org/10.1162/tacl_a_00395
• Rios, A., Amrhein, C., Aepli, N., & Sennrich, R. (2021). On Biasing Transformer Attention Towards Monotonicity Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 4474–4488. https://www.aclweb.org/anthology/2021.naacl-main.354
• Wang, C., Hardmeier, C., & Sennrich, R. (2021). Exploring the Importance of Source Text in Automatic Post-Editing for Context-Aware Machine Translation 326–335. https://www.aclweb.org/anthology/2021.nodalida-main.34
• Bojar, O., Macháček, D., Sagar, S., Smrž, O., Kratochvíl, J., Polák, P., Ansari, E., Mahmoudi, M., Kumar, R., Franceschini, D., Canton, C., Simonini, I., Nguyen, T.-S., Schneider, F., Stüker, S., Waibel, A., Haddow, B., Sennrich, R., & Williams, P. (2021, January 1). ELITR Multilingual Live Subtitling: Demo and Strategy Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, Online. https://doi.org/10.18653/v1/2021.eacl-demos.32
• Müller, M., & Sennrich, R. (2021, January 1). Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Online. https://doi.org/10.18653/v1/2021.acl-long.22
• Zhang, B., Bapna, A., Sennrich, R., & Firat, O. (2021). Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation International Conference on Learning Representations, Virtual. https://openreview.net/forum?id=Wj4ODo0uyCF
• Zhang, B., & Sennrich, R. (2021, January 1). Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021 Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021), Bangkok. https://doi.org/10.18653/v1/2021.iwslt-1.19
• Zhang, B., Titov, I., & Sennrich, R. (2021, January 1). On Sparsifying Encoder Outputs in Sequence-to-Sequence Models Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, Online. https://doi.org/10.18653/v1/2021.findings-acl.255
• Voita, E., Sennrich, R., & Titov, I. (2021, January 1). Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Online. https://doi.org/10.18653/v1/2021.acl-long.91
• Zhang, B., Titov, I., Haddow, B., & Sennrich, R. (2021, January 1). Beyond Sentence-Level End-to-End Speech Translation: Context Helps Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Online. https://doi.org/10.18653/v1/2021.acl-long.200

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