Annotating an extension layer of semantic structure for natural language text

Yulan Yan*, Yutaka Matsuo, Mitsuru Ishizuka, Toshio Yokoi

*この研究の対応する著者

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008
ページ174-181
ページ数8
DOI
出版ステータスPublished - 2008
外部発表はい
イベント2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008 - Santa Clara, CA
継続期間: 2008 8 42008 8 7

Other

Other2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008
CitySanta Clara, CA
Period08/8/408/8/7

ASJC Scopus subject areas

  • 人工知能
  • ソフトウェア

フィンガープリント

「Annotating an extension layer of semantic structure for natural language text」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル