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Cross-Document Coreference Resolution: A Key Technology for Learning by Reading.

, , , , , , , , , , , , , , , , , and . AAAI Spring Symposium: Learning by Reading and Learning to Read, page 65-70. AAAI, (2009)

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Unsupervised classification via decision trees: an information-theoretic perspective., , , and . ICASSP (5), page 1081-1084. IEEE, (2005)Favor Short Dependencies: Parsing with Soft and Hard Constraints on Dependency Length., and . Trends in Parsing Technology, Springer, (2010)Easy and Hard Constraint Ranking in OT: Algorithms and Complexity. CoRR, (2001)Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning., and . CoRR, (2017)Quasi-Synchronous Grammars: Alignment by Soft Projection of Syntactic Dependencies., and . WMT@HLT-NAACL, page 23-30. Association for Computational Linguistics, (2006)Penalized Expectation Propagation for Graphical Models over Strings., and . HLT-NAACL, page 932-942. The Association for Computational Linguistics, (2015)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)Parser Adaptation and Projection with Quasi-Synchronous Grammar Features., and . EMNLP, page 822-831. ACL, (2009)First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests., and . EMNLP, page 40-51. ACL, (2009)