tailieunhanh - Báo cáo khoa học: "Framework of Semantic Role Assignment based on Extended Lexical Conceptual Structure: Comparison with VerbNet and FrameNet"

Widely accepted resources for semantic parsing, such as PropBank and FrameNet, are not perfect as a semantic role labeling framework. Their semantic roles are not strictly defined; therefore, their meanings and semantic characteristics are unclear. In addition, it is presupposed that a single semantic role is assigned to each syntactic argument. This is not necessarily true when we consider internal structures of verb semantics. We propose a new framework for semantic role annotation which solves these problems by extending the theory of lexical conceptual structure (LCS). . | Framework of Semantic Role Assignment based on Extended Lexical Conceptual Structure Comparison with VerbNet and FrameNet Yuichiroh Matsubayashi Yusuke Miyao Akiko Aizawa t National Institute of Informatics Japan y-matsu yusuke aizawa @ Abstract Widely accepted resources for semantic parsing such as PropBank and FrameNet are not perfect as a semantic role labeling framework. Their semantic roles are not strictly defined therefore their meanings and semantic characteristics are unclear. In addition it is presupposed that a single semantic role is assigned to each syntactic argument. This is not necessarily true when we consider internal structures of verb semantics. We propose a new framework for semantic role annotation which solves these problems by extending the theory of lexical conceptual structure LCS . By comparing our framework with that of existing resources including VerbNet and FrameNet we demonstrate that our extended LCS framework can give a formal definition of semantic role labels and that multiple roles of arguments can be represented strictly and naturally. 1 Introduction Recent developments of large semantic resources have accelerated empirical research on semantic processing Marquez et al. 2008 . Specifically corpora with semantic role annotations such as PropBank Kingsbury and Palmer 2002 and FrameNet Ruppenhofer et al. 2006 are indispensable resources for semantic role labeling. However there are two topics we have to carefully take into consideration regarding role assignment frameworks 1 clarity of semantic role meanings and 2 the constraint that a single semantic role is assigned to each syntactic argument. While these resources are undoubtedly invaluable for empirical research on semantic process- Sentence John threw a ball from the window . Affection Movement Agent Source Patient Theme Source Path PropBank Arg0 Arg1 Arg2 VerbNet Agent Theme Source FrameNet Agent Theme Source Table 1 Examples of single role assignments with existing

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• Extended Lexical Conceptual Structure Comparison with VerbNet
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