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Graph Adaptation Network with Domain-Specific Word Alignment for Cross-Domain Relation Extraction
2020
Sensors
Cross-domain relation extraction has become an essential approach when target domain lacking labeled data. Most existing works adapted relation extraction models from the source domain to target domain through aligning sequential features, but failed to transfer non-local and non-sequential features such as word co-occurrence which are also critical for cross-domain relation extraction. To address this issue, in this paper, we propose a novel tripartite graph architecture to adapt non-local
doi:10.3390/s20247180
pmid:33333844
fatcat:bjjnzbqdabfspmpfl7nkabtn7a