@inproceedings{gomez-rodriguez-etal-2018-global,
title = "Global Transition-based Non-projective Dependency Parsing",
author = "G{\'o}mez-Rodr{\'i}guez, Carlos and
Shi, Tianze and
Lee, Lillian",
editor = "Gurevych, Iryna and
Miyao, Yusuke",
booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/fix-sig-urls/P18-1248/",
doi = "10.18653/v1/P18-1248",
pages = "2664--2675",
abstract = "Shi, Huang, and Lee (2017a) obtained state-of-the-art results for English and Chinese dependency parsing by combining dynamic-programming implementations of transition-based dependency parsers with a minimal set of bidirectional LSTM features. However, their results were limited to projective parsing. In this paper, we extend their approach to support non-projectivity by providing the first practical implementation of the MH₄ algorithm, an $O(n^4)$ mildly nonprojective dynamic-programming parser with very high coverage on non-projective treebanks. To make MH₄ compatible with minimal transition-based feature sets, we introduce a transition-based interpretation of it in which parser items are mapped to sequences of transitions. We thus obtain the first implementation of global decoding for non-projective transition-based parsing, and demonstrate empirically that it is effective than its projective counterpart in parsing a number of highly non-projective languages."
}
Markdown (Informal)
[Global Transition-based Non-projective Dependency Parsing](https://preview.aclanthology.org/fix-sig-urls/P18-1248/) (Gómez-Rodríguez et al., ACL 2018)
ACL
- Carlos Gómez-Rodríguez, Tianze Shi, and Lillian Lee. 2018. Global Transition-based Non-projective Dependency Parsing. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2664–2675, Melbourne, Australia. Association for Computational Linguistics.