Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data

	Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data
	Wang, Xinyu1 ; Jiang, Yong 2; Tu, Kewei1
	2020
会议录名称	16TH INTERNATIONAL CONFERENCE ON PARSING TECHNOLOGIES AND IWPT 2020 SHARED TASK ON PARSING INTO ENHANCED UNIVERSAL DEPENDENCIES
页码	215-220
发表状态	已发表
摘要	This paper presents the system used in our submission to the IWPT 2020 Shared Task. Our system is a graph-based parser with second-order inference. For the low-resource Tamil corpus, we specially mixed the training data of Tamil with other languages and significantly improved the performance of Tamil. Due to our misunderstanding of the submission requirements, we submitted graphs that are not connected, which makes our system only rank 6th over 10 teams. However, after we fixed this problem, our system is 0.6 ELAS higher than the team that ranked 1st in the official results.
关键词	Computational linguistics Dependency parsing Graph-based Performance Second orders Training data
会议名称	16th International Conference on Parsing Technologies, IWPT 2020, co-located with the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020
出版地	209 N EIGHTH STREET, STROUDSBURG, PA 18360 USA
会议地点	Virtual, Online, United states
会议日期	July 9, 2020
收录类别	CPCI ; ISSHP ; CPCI-S ; EI
语种	英语
WOS研究方向	Computer Science ; Linguistics
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Linguistics
WOS记录号	WOS:000563425200022
出版者	ASSOC COMPUTATIONAL LINGUISTICS-ACL
EI入藏号	20214411097567
EI主题词	Graphic methods
EI分类号	721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory
原始文献类型	Proceedings Paper
引用统计
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/123137
专题	信息科学与技术学院_硕士生信息科学与技术学院_PI研究组_屠可伟组信息科学与技术学院_博士生
通讯作者	Wang, Xinyu
作者单位	1.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai Engn Res Ctr Intelligent Vis & Imaging, Shanghai, Peoples R China 2.DAMO Acad, Alibaba Grp, Hangzhou, Peoples R China
第一作者单位	信息科学与技术学院
通讯作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Wang, Xinyu,Jiang, Yong,Tu, Kewei. Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data[C]. 209 N EIGHTH STREET, STROUDSBURG, PA 18360 USA:ASSOC COMPUTATIONAL LINGUISTICS-ACL,2020:215-220.