ShanghaiTech University Knowledge Management System
| Combining generative and discriminative approaches to unsupervised dependency parsing via dual decomposition | |
| 2017 | |
| Source Publication | 2017 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING, EMNLP 2017
 |
| Pages | 1689-1694 |
| Status | 已发表 |
| Abstract | Unsupervised dependency parsing aims to learn a dependency parser from unannotated sentences. Existing work focuses on either learning generative models using the expectation-maximization algorithm and its variants, or learning discriminative models using the discriminative clustering algorithm. In this paper, we propose a new learning strategy that learns a generative model and a discriminative model jointly based on the dual decomposition method. Our method is simple and general, yet effective to capture the advantages of both models and improve their learning results. We tested our method on the UD treebank and achieved a state-of-the-art performance on thirty languages. © 2017 Association for Computational Linguistics. |
| Conference Place | Copenhagen, Denmark |
| Indexed By | EI |
| Funding Project | National Natural Science Foundation of China[61503248] |
| Publisher | Association for Computational Linguistics (ACL) |
| EI Accession Number | 20194207538745 |
| EI Keywords | Clustering algorithms ; Image segmentation ; Maximum principle ; Natural language processing systems ; Syntactics |
| EI Classification Number | Data Processing and Image Processing:723.2 ; Information Sources and Analysis:903.1 |
| Original Document Type | Conference article (CA) |
| Document Type | 会议论文 |
| Identifier | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/29234 |
| Collection | 信息科学与技术学院_博士生 信息科学与技术学院_PI研究组_屠可伟组 |
| Affiliation | School of Information Science and Technology, ShanghaiTech University, Shanghai, China |
| First Author Affilication | School of Information Science and Technology |
| First Signature Affilication | School of Information Science and Technology |
| Recommended Citation GB/T 7714 | Jiang, Yong,Han, Wenjuan,Tu, Kewei. Combining generative and discriminative approaches to unsupervised dependency parsing via dual decomposition[C]:Association for Computational Linguistics (ACL),2017:1689-1694. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
Edit Comment
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.