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The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging.

B. Plank, S. Klerke, and Z. Agic. CoRR, (2018)

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Improving Part-of-Speech Tagging Accuracy for Croatian by Morphological Analysis.Z. Agic, and Z. Dovedan. Informatica (Slovenia), 32 (4): 445-451 (2008)Domain dependence of statistical named entity recognition and classification in Croatian texts.Z. Agic, and B. Bekavac. ITI, page 277-282. IEEE, (2013)Baselines and test data for cross-lingual inference.Z. Agic, and N. Schluter. CoRR, (2017)Treebank Translation for Cross-Lingual Parser Induction.J. Tiedemann, Z. Agic, and J. Nivre. CoNLL, page 130-140. ACL, (2014)Evaluating Morphosyntactic Tagging of Croatian Texts.Z. Agic, and M. Tadic. LREC, European Language Resources Association (ELRA), (2006)Three Syntactic Formalisms for Data-Driven Dependency Parsing of Croatian.Z. Agic, and D. Merkler. TSD, volume 8082 of Lecture Notes in Computer Science, page 560-567. Springer, (2013)Parsing Universal Dependencies without training.A. Søgaard, B. Plank, H. Alonso, and Z. Agic. EACL (1), page 230-240. Association for Computational Linguistics, (2017)Lemmatization and Morphosyntactic Tagging of Croatian and Serbian.Z. Agic, N. Ljubesic, and D. Merkler. BSNLP@ACL, page 48-57. Association for Computational Linguistics, (2013)Cross-lingual tagger evaluation without test data.A. Søgaard, B. Plank, and Z. Agic. EACL (2), page 248-253. Association for Computational Linguistics, (2017)Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging.B. Plank, and Z. Agic. EMNLP, page 614-620. Association for Computational Linguistics, (2018)

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Disambiguation of "Agic, Zeljko"

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The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging.

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Disambiguation of "Agic, Zeljko"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging.

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The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging.