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Multilingual Dependency Parsing using Bayes Point Machines.

, , , and . HLT-NAACL, The Association for Computational Linguistics, (2006)

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Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings., , and . COLING, page 1787-1796. ACL, (2016)Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types., , , and . COLING, page 1694-1704. Association for Computational Linguistics, (2018)An Analytic and Empirical Evaluation of Return-on-Investment-Based Active Learning., , , and . LAW@NAACL-HLT, page 11-20. The Association for Computer Linguistics, (2015)A Probabilistic Morphological Analyzer for Syriac., , , , , , and . EMNLP, page 810-820. ACL, (2010)Why multiple document image binarizations improve OCR., , and . HIP@ICDAR, page 86-93. ACM, (2013)Knowledge Homogeneity and Specialization in the Apache HTTP Server Project., , , and . OSS, volume 365 of IFIP Advances in Information and Communication Technology, page 106-122. Springer, (2011)Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study., , , , , , , and . LREC, European Language Resources Association, (2008)Using the Penn Treebank to Evaluate Non-Treebank Parsers., , , , and . LREC, European Language Resources Association, (2004)First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological Analysis., , , , , and . LREC, page 878-885. European Language Resources Association (ELRA), (2012)A Robust System for Natural Spoken Dialogue., , , and . ACL, page 62-70. Morgan Kaufmann Publishers / ACL, (1996)