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Evidence Inference 2.0: More Data, Better Models.

, , , , and . BioNLP, page 123-132. Association for Computational Linguistics, (2020)

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Active Discriminative Word Embedding Learning., and . CoRR, (2016)An Analysis of Attention over Clinical Notes for Predictive Tasks., , and . CoRR, (2019)Retrofitting Word Vectors of MeSH Terms to Improve Semantic Similarity Measures., , , , and . Louhi@EMNLP, page 43-51. Association for Computational Linguistics, (2016)MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification., , and . HLT-NAACL, page 1522-1527. The Association for Computational Linguistics, (2016)Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?, , , , and . NAACL-HLT, page 946-959. Association for Computational Linguistics, (2021)On the Impact of Random Seeds on the Fairness of Clinical Classifiers., , and . NAACL-HLT, page 3808-3823. Association for Computational Linguistics, (2021)What Predicts Media Coverage of Health Science Articles?, , and . AAAI Workshop: WWW and Public Health Intelligence, volume WS-15-15 of AAAI Technical Report, AAAI Press, (2015)Intermediate Entity-based Sparse Interpretable Representation Learning., , , and . BlackboxNLP@EMNLP, page 210-224. Association for Computational Linguistics, (2022)A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication., , , , and . EMNLP, page 1765-1775. ACL, (2013)Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data., , , and . EMNLP (1), page 4992-5001. Association for Computational Linguistics, (2021)