Author of the publication

Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions.

, , , and . ACL, page 2258-2269. Association for Computational Linguistics, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Analyzing Neural Discourse Coherence Models., , , and . CoRR, (2020)Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4517-4533. Association for Computational Linguistics, (2020)Towards a robust experimental framework and benchmark for lifelong language learning., , , , and . NeurIPS Datasets and Benchmarks, (2021)Zero-shot Sequence Labeling for Transformer-based Sentence Classifiers., , and . RepL4NLP@ACL-IJCNLP, page 195-205. Association for Computational Linguistics, (2021)Joint Modelling of Emotion and Abusive Language Detection., , , and . ACL, page 4270-4279. Association for Computational Linguistics, (2020)On the Application of Large Language Models for Language Teaching and Assessment Technology., , , , , , , , , and 5 other author(s). LLM@AIED, volume 3487 of CEUR Workshop Proceedings, page 173-197. CEUR-WS.org, (2023)Scientific and Creative Analogies in Pretrained Language Models., , , and . EMNLP (Findings), page 2094-2100. Association for Computational Linguistics, (2022)Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions., , , and . ACL, page 2258-2269. Association for Computational Linguistics, (2020)Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing., , , , , , and . ACL (1), page 8503-8520. Association for Computational Linguistics, (2022)FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs., , and . CoRR, (2023)