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Using Ännotator Rationales" to Improve Machine Learning for Text Categorization.

, , and . HLT-NAACL, page 260-267. The Association for Computational Linguistics, (2007)

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The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding., , , , , , , , , and . CoRR, (2022)Quasi-Synchronous Grammars: Alignment by Soft Projection of Syntactic Dependencies., and . WMT@HLT-NAACL, page 23-30. Association for Computational Linguistics, (2006)Unsupervised Learning on an Approximate Corpus., and . HLT-NAACL, page 131-141. The Association for Computational Linguistics, (2012)Are All Languages Equally Hard to Language-Model?, , , and . NAACL-HLT (2), page 536-541. Association for Computational Linguistics, (2018)Penalized Expectation Propagation for Graphical Models over Strings., and . HLT-NAACL, page 932-942. The Association for Computational Linguistics, (2015)Easy and Hard Constraint Ranking in OT: Algorithms and Complexity. CoRR, (2001)A natural language approach to automated cryptanalysis of two-time pads., , , and . CCS, page 235-244. ACM, (2006)First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests., and . EMNLP, page 40-51. ACL, (2009)Parser Adaptation and Projection with Quasi-Synchronous Grammar Features., and . EMNLP, page 822-831. ACL, (2009)Dual Decomposition Inference for Graphical Models over Strings., , and . EMNLP, page 917-927. The Association for Computational Linguistics, (2015)