03.09.20217 papers accepted to EMNLP 2021 and Findings

Members of the Department of Computational Linguistics had 6 papers accepted to the main conference of The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021):

• Jannis Vamvas; Rico Sennrich (2021). Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias.
• Jiaoda Li; Duygu Ataman; Rico Sennrich (2021). Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models.
• Elena Voita; Rico Sennrich; Ivan Titov (2021). Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT.
• Denis Emelin; Rico Sennrich (2021). Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution.
• Biao Zhang; Ivan Titov; Rico Sennrich (2021). Sparse Attention with Linear Units.
• Clara Meister; Tiago Pimentel; Patrick Haller; Lena Jäger; Ryan Cotterell; Roger Levy (2021). Revisiting the Uniform Information Density Hypothesis.

a 7th paper has been accepted to the Findings of EMNLP:

• Chantal Amrhein; Rico Sennrich (2021). How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?