抄録
To understand text contents better, many research efforts have been made exploring detection and classification of the semantic relation between a concept pair. As described herein, we present our study of a semantic relation classification task as a graph-based multi-view learning task: each intra-view graph is constructed with instances in the view; a node's label "score" is propagated on each intra-view graph and inter-view graph. This combination of multi-view learning and graph-based method can reduce the influence from violation of a background assumption of multi-view learning algorithms - view compatibility. The proposed algorithm is evaluated using the Concept Description Language for Natural Language (CDL.nl) corpus. The experiment results validate its effectiveness.
本文言語 | English |
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ホスト出版物のタイトル | ICSC 2009 - 2009 IEEE International Conference on Semantic Computing |
ページ | 473-480 |
ページ数 | 8 |
DOI | |
出版ステータス | Published - 2009 |
外部発表 | はい |
イベント | ICSC 2009 - 2009 IEEE International Conference on Semantic Computing - Berkeley, CA 継続期間: 2009 9月 14 → 2009 9月 16 |
Other
Other | ICSC 2009 - 2009 IEEE International Conference on Semantic Computing |
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City | Berkeley, CA |
Period | 09/9/14 → 09/9/16 |
ASJC Scopus subject areas
- 計算理論と計算数学
- ソフトウェア
- 電子工学および電気工学