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Language (Re)modelling: Towards Embodied Language Understanding.

, , , , , and . ACL, page 6268-6281. Association for Computational Linguistics, (2020)

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Inherent Biases in Reference-based Evaluation for Grammatical Error Correction and Text Simplification., and . CoRR, (2018)Transition based Graph Decoder for Neural Machine Translation., and . CoRR, (2021)MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning., , , , , , , , , and 7 other author(s). CoRR, (2022)Reinforcement Learning with Large Action Spaces for Neural Machine Translation., , , and . COLING, page 4544-4556. International Committee on Computational Linguistics, (2022)Mediators in Determining what Processing BERT Performs First., , and . NAACL-HLT, page 86-93. Association for Computational Linguistics, (2021)Semantic Structural Evaluation for Text Simplification., , and . NAACL-HLT, page 685-696. Association for Computational Linguistics, (2018)HUME: Human UCCA-Based Evaluation of Machine Translation., , , and . EMNLP, page 1264-1274. The Association for Computational Linguistics, (2016)$Q^2$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering., , , , , and . EMNLP (1), page 7856-7870. Association for Computational Linguistics, (2021)Type Level Clustering Evaluation: New Measures and a POS Induction Case Study., , and . CoNLL, page 77-87. ACL, (2010)Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation., and . CoNLL, page 291-303. Association for Computational Linguistics, (2019)