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What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems.

, , , , , , , , and . EMNLP, page 3313-3330. Association for Computational Linguistics, (2023)

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Inversion transduction Grammar Coverage of Arabic-English Word Alignment for Tree-Structured Statistical Machine Translation., , and . SLT, page 234-237. IEEE, (2006)An Empirical Assessment of Machine Learning Approaches for Triaging Reports of a Java Static Analysis Tool., , , , and . ICST, page 288-299. IEEE, (2019)Surprise Languages: Rapid-Response Cross-Language IR., , , , , , , , , and 10 other author(s). EVIA@NTCIR, (2019)A Review of Human Evaluation for Style Transfer., , , , and . CoRR, (2021)Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection., , , , and . CoRR, (2023)An Empirical Exploration of Curriculum Learning for Neural Machine Translation., , , , , , , , and . CoRR, (2018)The University of Maryland's Submissions to the WMT20 Chat Translation Task: Searching for More Data to Adapt Discourse-Aware Neural Machine Translation., , , , and . WMT@EMNLP, page 456-461. Association for Computational Linguistics, (2020)The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021., , , and . WMT@EMNLP, page 383-386. Association for Computational Linguistics, (2021)Toward Using Morphology in French-English Phrase-Based SMT.. WMT@EACL, page 150-154. Association for Computational Linguistics, (2009)Semantic role labeling with Boosting, SVMs, Maximum Entropy, SNOW, and Decision Lists., , , , and . SENSEVAL@ACL, Association for Computational Linguistics, (2004)