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If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering.

, , and . NAACL-HLT, page 4571-4581. Association for Computational Linguistics, (2021)

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Multilayered temporal modeling for the clinical domain., , , , and . J. Am. Medical Informatics Assoc., 23 (2): 387-395 (2016)Measuring the Latency of Depression Detection in Social Media., , and . WSDM, page 495-503. ACM, (2018)Clinical TempEval., , , and . CoRR, (2014)Inferring missing metadata from environmental policy texts., , , , , , and . LaTeCH@NAACL-HLT, page 46-51. Association for Computational Linguistics, (2019)Automatically assessing resource quality for educational digital libraries., , , , and . WICOW, page 3-10. ACM, (2009)University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities., , , , and . SemEval@NAACL-HLT, page 1319-1323. Association for Computational Linguistics, (2019)SemEval-2017 Task 12: Clinical TempEval., , , and . SemEval@ACL, page 565-572. Association for Computational Linguistics, (2017)Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments., , and . IJCNLP(1), page 90-99. Asian Federation of Natural Language Processing, (2017)Building a Foundation System for Producing Short Answers to Factual Questions., , , , , , , , , and 5 other author(s). TREC, volume 500-251 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2002)Pre-trained Contextualized Character Embeddings Lead to Major Improvements in Time Normalization: a Detailed Analysis., , and . *SEM@NAACL-HLT, page 68-74. Association for Computational Linguistics, (2019)