【semantic_role_labeling】什么意思_英语semantic_role_labeling的翻译_音标_读音_用法_例句_在线翻译

semantic role labeling

语义角色标注

语义角色标注(Semantic Role Labeling,SRL)是浅层语义分析的一种实现方式,总结近几年国内外基于统计方法的语义角色标注研究的内容,主要可以归结为特征提取及特征选择的...

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自动语义角色标注

...科学重大基础研究项目(08KJA520002) 【正文快照】： 1引言当前根据采用的句法分析结果,自动语义角色标注(Semantic Role Labeling,SRL)可分为:基于短语结构句法分析的语义角色标注和基于依存结构句法分析的语义角色标注。

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短语

Kernel-based Semantic Role Labeling 基于核方法的语义角色标注研究

计算机科学技术 | 语言学

·2,447,543篇论文数据，部分数据来源于NoteExpress

abstract: Semantic role labeling, sometimes also called shallow semantic parsing, is a task in natural language processing consisting of the detection of the semantic arguments associated with the predicate or verb of a sentence and their classification into their specific roles. For example, given a sentence like "Mary sold the book to John", the task would be to recognize the verb "to sell" as representing the predicate, "Mary" as representing the seller (agent), "the book" as representing the goods (theme), and "John" as representing the recipient.

以上来源于: WordNet

In recent years, natural language processing is focusing on the semantic role labeling.

近年来，自然语言研究的热点已经转到了语义角色标注上来。

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In particular, given a sentence and a predicate, semantic role labeling (SRL) identifies its semantic arguments and classifies their semantic roles.

作为其具体实现，语义角色标注的任务是识别并标注句中每个目标谓词的所有充当语义角色的句法成分。

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This is a satisfactory outcome in the Chinese semantic role labeling area, we believe that if more distinguishing features can be able to be joined, experimental results will be further enhanced.

这在中文语义角色标注领域是令人满意的结果，我们相信，如果后期能加入更具有区分性的特征，实验结果一定会进一步得到提高。

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