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A Machine Learning Approach for QA and Novelty Tracks: NTT System Description., , , and . TREC, volume 500-251 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2002)The NTT statistical machine translation system for IWSLT2005., , , , and . IWSLT, page 112-117. ISCA, (2005)An elicitation principle of subject probabilities from statements on the Internet., , and . KES, page 459-463. IEEE, (1999)Data Troubles in Sentence Level Confidence Estimation for Machine Translation., , , , , and . CoRR, (2020)Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation, , , , , , , , , and 20 other author(s). arXiv.org, (September 2016)Efficient Support Vector Classifiers for Named Entity Recognition., and . COLING, (2002)A Survey and Empirical Comparison of Object Ranking Methods., , and . Preference Learning, Springer, (2010)Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation, , , , , , , , , and 21 other author(s). (2016)cite arxiv:1609.08144.Estimating Attributed Central Orders: An Empirical Comparison., , and . ECML, volume 3201 of Lecture Notes in Computer Science, page 563-565. Springer, (2004)Mining Rules for Rewriting States in a Transition-Based Dependency Parser., , , , , , and . PRICAI, volume 7458 of Lecture Notes in Computer Science, page 133-145. Springer, (2012)