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.
|ホスト出版物のタイトル||ICSC 2009 - 2009 IEEE International Conference on Semantic Computing|
|出版ステータス||Published - 2009|
|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||ICSC 2009 - 2009 IEEE International Conference on Semantic Computing|
|Period||09/9/14 → 09/9/16|
ASJC Scopus subject areas