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Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010., , , , and . J. Am. Medical Informatics Assoc., 18 (5): 557-562 (2011)Comparing the roles of textual, acoustic and spoken-language features on spontaneous-conversation summarization., and . HLT-NAACL, The Association for Computational Linguistics, (2006)Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference., , , , , and . RepEval@EMNLP, page 36-40. Association for Computational Linguistics, (2017)Robust NLP for Finance (RobustFin)., , , , , , , and . KDD, page 5884-5885. ACM, (2023)Class-wise Calibration: A Case Study on COVID-19 Hate Speech., , and . Canadian AI, Canadian Artificial Intelligence Association, (2021)extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games., , , , , , , , and . Canadian AI, Canadian Artificial Intelligence Association, (2021)Exploring Deep Anomaly Detection Methods Based on Capsule Net., , , , and . Canadian AI, volume 12109 of Lecture Notes in Computer Science, page 375-387. Springer, (2020)Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction., , and . Canadian AI, Canadian Artificial Intelligence Association, (2021)Improving Depression Assessment With Multi-Task Learning From Speech and Text Information., , and . ACSCC, page 449-453. IEEE, (2021)Exploring End-to-End Differentiable Natural Logic Modeling., , , , and . COLING, page 1172-1185. International Committee on Computational Linguistics, (2020)