@inproceedings{9e8688d087d14791b9982be9e22782b0,
title = "Transition-based Chinese semantic dependency graph parsing",
abstract = "Chinese semantic dependency graph is extended from semantic dependency tree, which uses directed acyclic graphs to capture richer latent semantics of sentences. In this paper, we propose two approaches for Chinese semantic dependency graph parsing. In the first approach, we build a non-projective transition-based dependency parser with the Swap-based algorithm. Then we use a classifier to add arc candidates generated by rules to the tree, forming a graph. In the second approach, we build a transition-based graph parser directly using a variant of the list-based transition system. For both approaches, neural networks are adopted to represent the parsing states. Both approaches yield significantly better results than the top systems in the SemEval-2016 Task 9: Chinese Semantic Dependency Parsing.",
author = "Yuxuan Wang and Jiang Guo and Wanxiang Che and Ting Liu",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 15th China National Conference on Chinese Computational Linguistics, CCL 2016 and 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016 ; Conference date: 15-10-2016 Through 16-10-2016",
year = "2016",
doi = "10.1007/978-3-319-47674-2\_2",
language = "英语",
isbn = "9783319476735",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "12--24",
editor = "Maosong Sun and Zhiyuan Liu and Yang Liu and Hongfei Lin and Xuanjing Huang",
booktitle = "Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 15th China National Conference, CCL 2016 and 4th International Symposium, NLP-NABD 2016, Proceedings",
address = "德国",
}