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PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models., , , , , , , , , and . CoRR, (2023)Beyond Words: A Comprehensive Survey of Sentence Representations., , , , , and . CoRR, (2023)Vajra: step-by-step programming with natural language., , , and . IUI, page 30-39. ACM, (2019)Towards Human-Centred Explainability Benchmarks For Text Classification., , and . ICWSM Workshops, (2022)Are Machine Reading Comprehension Systems Robust to Context Paraphrasing?, , and . IJCNLP (2), page 184-196. Association for Computational Linguistics, (2023)Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?, , and . EACL, page 3565-3579. Association for Computational Linguistics, (2021)Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification., , , , , , and . CoRR, (2023)Automated Clinical Coding for Outpatient Departments., , , , , , , and . CoRR, (2023)Can Transformers Reason in Fragments of Natural Language?, , and . EMNLP, page 11184-11199. Association for Computational Linguistics, (2022)A Two-Stage Decoder for Efficient ICD Coding., , , and . ACL (Findings), page 4658-4665. Association for Computational Linguistics, (2023)