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ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing., , , , и . CoRR, (2020)Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training., и . AACL/IJCNLP, стр. 93-99. Association for Computational Linguistics, (2020)Improving Constituent Representation with Hypertree Neural Networks., , и . NAACL-HLT, стр. 1682-1692. Association for Computational Linguistics, (2022)ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing., , , , и . CoNLL Shared Task, стр. 55-65. Association for Computational Linguistics, (2019)Dependency Grammar Induction with Neural Lexicalization and Big Training Data., , и . EMNLP, стр. 1683-1688. Association for Computational Linguistics, (2017)Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars., и . EMNLP-CoNLL, стр. 1324-1334. ACL, (2012)Deep Inside-outside Recursive Autoencoder with All-span Objective., , и . COLING, стр. 3610-3615. International Committee on Computational Linguistics, (2020)Gaussian Mixture Latent Vector Grammars., , и . ACL (1), стр. 1181-1189. Association for Computational Linguistics, (2018)An Empirical Comparison of Unsupervised Constituency Parsing Methods., , , , и . ACL, стр. 3278-3283. Association for Computational Linguistics, (2020)Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation., и . ACL (Findings), стр. 7613-7636. Association for Computational Linguistics, (2023)