SRL工具:基于启发式的自然语言处理语义角色标注

N. Omar, Siti Salwa Bt Hasbullah
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引用次数: 3

摘要

语义角色标注工具(SRL Tool)是为标注英语句子中存在的语义角色而开发的工具。本文提出了一种基于自然语言处理的启发式方法来辅助语义角色标注。初步结果表明,使用启发式方法可以改进正确语义角色的分配过程。该应用工具不仅适用于自然语言处理领域的研究人员,也适用于语言学专业的专家或学生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SRL TOOL: Heuristics-based Semantic Role Labeling through natural language processing
The Semantic Role Labeling (SRL Tool) is developed to label the semantic roles that exist in English sentences. This paper proposed a set of new heuristics to assist the semantic role labeling using natural language processing. The preliminary result shows that the use of heuristics can improve the process of assigning the correct semantic roles. This application tool is useful for researchers in Natural Language processing field and also for experts or students in Linguistics.
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