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- W2096427325 abstract "Confronting the challenges of annotating naturally occurring text into a semantically structured form to facilitate automatic information extraction, current semantic role labeling (SRL) systems have been specifically examining a semantic predicate-argument structure. Based on the concept description language for natural language (CDL.nl) which is intended to describe the concept structure of text using a set of pre-defined semantic relations, we develop a parser to add a new layer of semantic annotation of natural language sentences as an extension of SRL. With the assumption that all relation instances are detected, we present a relation classification approach facing the challenges of CDL.nl relation extraction. Preliminary evaluation on a manual dataset, using support vector machine, shows that CDL.nl relations can be classified with good performance." @default.
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- W2096427325 date "2008-12-01" @default.
- W2096427325 modified "2023-10-01" @default.
- W2096427325 title "Relation Classification for Semantic Structure Annotation of Text" @default.
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- W2096427325 doi "https://doi.org/10.1109/wiiat.2008.128" @default.
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