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| 基于概念关系对齐的中文抽象语义表示解析评测方法 | |
| 引用本文： | 肖力铭,李斌,许智星,霍凯蕊,冯敏萱,周俊生,曲维光. 基于概念关系对齐的中文抽象语义表示解析评测方法[J]. 中文信息学报, 2022, 36(1): 21-30,38 |
| 作者姓名： | 肖力铭 李斌 许智星 霍凯蕊 冯敏萱 周俊生 曲维光 |
| 作者单位： | 1.南京师范大学 文学院,江苏 南京 210097; 2.南京师范大学 计算机与电子信息学院,江苏 南京 210023 |
| 基金项目： | 国家社会科学基金(18BYY127);国家自然科学基金(61772278);江苏省社会科学基金(20JYB004) |
| 摘 要： | 抽象语义表示(Abstract Meaning Representation,AMR)是一种句子语义表示方法,能够将句子的语义表示为一个单根有向无环图.随着中文AMR语料库规模的扩大,解析系统的研究也相继展开,将句子自动解析为中文AMR.然而,现有的AMR解析评测方法并不能处理中文AMR的重要组成部分——概念对齐和关系... |
| 关 键 词： | 抽象语义表示 评测方法 概念对齐 关系对齐 语义分析 |
A Novel Evaluation Method for Chinese Abstract Meaning Representation Parsing Based on Alignment of Concept and Relation |
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| XIAO Liming,LI Bin,XU Zhixing,HUO Kairui, FENG Minxuan,ZHOU Junsheng,QU Weiguang. A Novel Evaluation Method for Chinese Abstract Meaning Representation Parsing Based on Alignment of Concept and Relation[J]. Journal of Chinese Information Processing, 2022, 36(1): 21-30,38 |
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| Authors: | XIAO Liming LI Bin XU Zhixing HUO Kairui FENG Minxuan ZHOU Junsheng QU Weiguang |
| Affiliation: | 1.School of Chinese Language and Literature, Nanjing Normal University, Nanjing, Jiangsu 210097, China; 2.School of Computer, Electronics and Information, Nanjing Normal University, Nanjing, Jiangsu 210023, China |
| Abstract: | Abstract Meaning Representation is a sentence-level meaning representation, which abstracts a sentence’s meaning into a rooted acyclic directed graph. With the continuous expansion of Chinese AMR corpus, more and more scholars have developed parsing systems to automatically parse sentences into Chinese AMR. To make up for the vacancy of Chinese AMR parsing evaluation methods, we have improved the Smatch algorithm of generating triples to make it compatible with concept alignment and relation alignment. We finally complete a new integrity metric Align-Smatch for paring evaluation. Compared on 100 manually annotated AMR and gold AMR, it is revealed that Align-Smatch works well in alignments and more robust in evaluating arcs. We also put forward some fine-grained metric for evaluating concept alignment, relation alignment and implicit concepts, in order to further measure parsers’ performance in subtasks. |
| Keywords: | abstract meaning representation evaluation method concept alignment relation alignment semantic parsing |
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