Parsing Meaning Representations: Is Easier Always Better?

Parsing Meaning Representations: Is Easier Always Better?
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DOI：
10.18653/v1/w19-3304
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发表时间：
2019
期刊：
Proceedings of the First International Workshop on Designing Meaning Representations
影响因子：
--
通讯作者：
Zi Lin
Zi Lin
中科院分区：
其他
文献类型：
--
作者：
Zi Lin

文献摘要

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对于不同的意义表示，句法分析的准确性有很大的差异。本文比较了抽象意义表示（AMR）和最小递归语义（MRS）的句法分析性能，并深入分析了导致其句法分析精度差异的因素。通过明确表示表达能力和自动解析容易性之间的权衡，我们希望我们的结果可以帮助通知下一代意义表示的设计。
The parsing accuracy varies a great deal for different meaning representations. In this paper, we compare the parsing performances between Abstract Meaning Representation (AMR) and Minimal Recursion Semantics (MRS), and provide an in-depth analysis of what factors contributed to the discrepancy in their parsing accuracy. By crystalizing the trade-off between representation expressiveness and ease of automatic parsing, we hope our results can help inform the design of the next-generation meaning representations.