engleski

From concept definitions to semantic role labeling in specialized knowledge resources

The paper presents the framework for semantic role labeling that is being developed within the project the Dynamicity of Specialized Knowledge Categories. The main goal of the project is the description of the categories of aviation within semantic frames. One of the tasks towards achieving this goal is developing a methodology for the syntactic and semantic analysis of the language for specialized purposes that could be applied to any specialized domain. The paper first outlines the differences between the terminological database Struna and a lexical database of semantic frames of aviation, AirFrame. Methods applied in analyzingterminological definitions and annotated sentences containing aviation terms are then presented. Conceptual information from the definitionsof key aviation concepts in Struna is compared to semantically annotated sentences extracted from the parallel English-Croatian aviation corpus.The corpus compilation and analysis has been done in Sketch Engine, while the annotation is done in the WebAnno tool. Two approaches to semantic role labelling are discussed. The first approach does not have roles specific to one class, e.g. LIRICS (Petukhova & Bunt, 2008) and VerbNet (Kipper et al., 2008) with hierarchically organized semantic roles. The second approach, developed within FrameNet has more than 2000 frame elements or semantic roles that are verb-specific and frame-specific. Advantages of each approach are discussed, and the semantic tagset applied in the analysis is elaborated. The benefits of using semantic role labeling in terminological resources arefinally discussed.

terminology ; semantic roles ; semantic role labeling ; specialized knowledge

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