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Annotating an Extension Layer of Semantic Structure for Natural Language Text

TitleAnnotating an Extension Layer of Semantic Structure for Natural Language Text
Publication TypeConference Paper
Year of Publication2008
AuthorsYan Y, Matsuo Y, Ishizuka M, Yokoi T
Conference NameProceedings of the 2008 IEEE International Conference on Semantic Computing
PublisherIEEE Computer Society
Conference LocationWashington, DC, USA
ISBN Number978-0-7695-3279-0

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 ( 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. The parsing task is a relation extraction process with two steps: relation detection and relation classification. We advance a hybrid approach using different methods for two steps: first, based on dependency analysis, a rule-based method is presented to detect all entity pairs between each pair for which there exists a relationship; secondly, we use a feature-based method to assign a relation to each detected entity pair using Support Vector Machine. We report the preliminary experimental results carried out on our manual dataset annotated with relations.