The Proposition Bank: An annotated corpus of semantic roles
The Proposition Bank: An annotated corpus of semantic roles
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DOI：
10.1162/0891201053630264
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发表时间：
2005-03-01
影响因子：
9.3
通讯作者：
Gildeafi, D
中科院分区：
文献类型：
--
作者：
Palmer, M;Kingsbury, P;Gildeafi, D
命题库项目采用了一种实用的语义表示方法，在Penn Treebank的句法结构中添加了一层谓词-论元信息或语义角色标签。由此产生的资源可以被认为是肤浅的，因为它不代表共指，量化和许多其他高阶现象，但也很广泛，我们讨论了用于定义语义角色集的标准，并分析了句法/语义角色的频率。语料库中的语义变化。我们描述了一个自动系统的语义角色标记训练的语料库，并讨论其性能的各种类型的信息，包括比较完整的句法分析与平面表示和贡献的空的“痕迹”类别的树库的效果。
The Proposition Bank project takes a practical approach to semantic representation, adding a layer of predicate-argument information, or semantic role labels, to the syntactic structures of the Penn Treebank. The resulting resource can be thought of as shallow, in that it does not represent coreference, quantification, and many other higher-order phenomena, but also broad, in that it covers every instance of every verb in the corpus and allows representative statistics to be calculated.We discuss the criteria used to define the sets of semantic roles used in the annotation process and to analyze the frequency of syntactic/semantic alternations in the corpus. We describe an automatic system for semantic role tagging trained on the corpus and discuss the effect on its performance of various types of information, including a comparison of full syntactic parsing with a flat representation and the contribution of the empty "trace" categories of the treebank.