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Text Genre and Training Data Size in Human-like Parsing.

J. Hale, A. Kuncoro, K. Hall, C. Dyer, and J. Brennan. EMNLP/IJCNLP (1), page 5845-5851. Association for Computational Linguistics, (2019)

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Recurrent Neural Network Grammars.C. Dyer, A. Kuncoro, M. Ballesteros, and N. Smith. HLT-NAACL, page 199-209. The Association for Computational Linguistics, (2016)Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser.A. Kuncoro, M. Ballesteros, L. Kong, C. Dyer, and N. Smith. EMNLP, page 1744-1753. The Association for Computational Linguistics, (2016)Dependency Parsing with LSTMs: An Empirical Evaluation.A. Kuncoro, Y. Sawai, K. Duh, and Y. Matsumoto. CoRR, (2016)What Do Recurrent Neural Network Grammars Learn About Syntax?A. Kuncoro, M. Ballesteros, L. Kong, C. Dyer, G. Neubig, and N. Smith. CoRR, (2016)Memory Architectures in Recurrent Neural Network Language Models.D. Yogatama, Y. Miao, G. Melis, W. Ling, A. Kuncoro, C. Dyer, and P. Blunsom. ICLR (Poster), OpenReview.net, (2018)Finding syntax in human encephalography with beam search.J. Hale, C. Dyer, A. Kuncoro, and J. Brennan. ACL (1), page 2727-2736. Association for Computational Linguistics, (2018)LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better.A. Kuncoro, C. Dyer, J. Hale, D. Yogatama, S. Clark, and P. Blunsom. ACL (1), page 1426-1436. Association for Computational Linguistics, (2018)Unsupervised Recurrent Neural Network Grammars.Y. Kim, A. Rush, L. Yu, A. Kuncoro, C. Dyer, and G. Melis. NAACL-HLT (1), page 1105-1117. Association for Computational Linguistics, (2019)What Do Recurrent Neural Network Grammars Learn About Syntax?N. Smith, C. Dyer, M. Ballesteros, G. Neubig, L. Kong, and A. Kuncoro. EACL (1), page 1249-1258. Association for Computational Linguistics, (2017)Ensemble Technique Utilization for Indonesian Dependency Parser.A. Rahman, K. Adhiguna, and A. Purwarianti. PACLIC, page 64-71. The National University (Phillippines), (2017)

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Disambiguation of "Kuncoro, Adhiguna"

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Text Genre and Training Data Size in Human-like Parsing.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Text Genre and Training Data Size in Human-like Parsing.

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Text Genre and Training Data Size in Human-like Parsing.