|Title||Annotating an Extension Layer of Semantic Structure for Natural Language Text|
|Publication Type||Conference Paper|
|Year of Publication||2008|
|Authors||Yan Y, Matsuo Y, Ishizuka M, Yokoi T|
|Conference Name||Proceedings of the 2008 IEEE International Conference on Semantic Computing|
|Publisher||IEEE Computer Society|
|Conference Location||Washington, DC, USA|
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. 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 CDL.nl relation to each detected entity pair using Support Vector Machine. We report the preliminary experimental results carried out on our manual dataset annotated with CDL.nl relations.