acl acl2012 acl2012-120 acl2012-120-reference knowledge-graph by maker-knowledge-mining

120 acl-2012-Information-theoretic Multi-view Domain Adaptation


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Author: Pei Yang ; Wei Gao ; Qi Tan ; Kam-Fai Wong

Abstract: We use multiple views for cross-domain document classification. The main idea is to strengthen the views’ consistency for target data with source training data by identifying the correlations of domain-specific features from different domains. We present an Information-theoretic Multi-view Adaptation Model (IMAM) based on a multi-way clustering scheme, where word and link clusters can draw together seemingly unrelated domain-specific features from both sides and iteratively boost the consistency between document clusterings based on word and link views. Experiments show that IMAM significantly outperforms state-of-the-art baselines.


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