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Mining for unambiguous instances to adapt part-of-speech taggers to new domains.

, , , and . HLT-NAACL, page 1256-1261. The Association for Computational Linguistics, (2015)

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Multitask learning for semantic sequence prediction under varying data conditions., and . CoRR, (2016)Cheating a Parser to Death: Data-driven Cross-Treebank Annotation Transfer., , , , and . LREC, European Language Resources Association (ELRA), (2018)Multilingual Projection for Parsing Truly Low-Resource Languages., , , , , and . Trans. Assoc. Comput. Linguistics, (2016)Finding Dependency Parsing Limits over a Large Spanish Corpus., , , and . IJCNLP, page 942-946. Asian Federation of Natural Language Processing / ACL, (2013)Supersense tagging with inter-annotator disagreement., , and . LAW@ACL, The Association for Computer Linguistics, (2016)CPH: Sentiment analysis of Figurative Language on Twitter #easypeasy #not., , and . SemEval@NAACL-HLT, page 699-703. The Association for Computer Linguistics, (2015)An empirically grounded expansion of the supersense inventory., , , , and . GWC, page 199-208. Global Wordnet Association, (2016)Learning to parse with IAA-weighted loss., , , and . HLT-NAACL, page 1357-1361. The Association for Computational Linguistics, (2015)Annotating omission in statement pairs., , and . LAW@ACL, page 41-45. Association for Computational Linguistics, (2017)Parsing Universal Dependencies without training., , , and . EACL (1), page 230-240. Association for Computational Linguistics, (2017)