Title | Relation Classification for Semantic Structure Annotation of Text |
Publication Type | Conference Paper |
Year of Publication | 2008 |
Authors | Yan Y, Matsuo Y, Ishizuka M, Yokoi T |
Conference Name | IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology |
Publisher | IEEE Computer Society |
Conference Location | Toronto, Canada |
ISBN Number | 978-0-7695-3496-1 |
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. |
URL | http://www.miv.t.u-tokyo.ac.jp/papers/yulan-WI08.pdf |
DOI | 10.1109/WIIAT.2008.128 |
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