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Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models.

, , , , and . NIPS, page 1231-1239. Curran Associates, Inc., (2009)

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Measuring Domain Portability and Error Propagation in Biomedical QA., , and . PKDD/ECML Workshops (2), volume 1168 of Communications in Computer and Information Science, page 686-694. Springer, (2019)Analyzing and Integrating Dependency Parsers., and . Computational Linguistics, 37 (1): 197-230 (2011)Automatically annotating documents with normalized gene lists., , and . BMC Bioinform., (2005)What's great and what's not: learning to classify the scope of negation for improved sentiment analysis., , and . NeSp-NLP@ACL, page 51-59. University of Antwerp, (2010)Generalized Transition-based Dependency Parsing via Control Parameters., , , and . ACL (1), The Association for Computer Linguistics, (2016)Distributed Training Strategies for the Structured Perceptron., , and . HLT-NAACL, page 456-464. The Association for Computational Linguistics, (2010)Discriminative Sentence Compression with Soft Syntactic Evidence.. EACL, The Association for Computer Linguistics, (2006)Characterizing the Errors of Data-Driven Dependency Parsing Models., and . EMNLP-CoNLL, page 122-131. ACL, (2007)Generalized Higher-Order Dependency Parsing with Cube Pruning., and . EMNLP-CoNLL, page 320-331. ACL, (2012)Domain Adaptation with Structural Correspondence Learning., , and . EMNLP, page 120-128. ACL, (2006)