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The "Fat Face" illusion: A robust adaptation for processing pairs of faces
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In: ISSN: 0042-6989 ; EISSN: 0042-6989 ; Vision Research ; https://hal.archives-ouvertes.fr/hal-03579276 ; Vision Research, Elsevier, 2022, 195, pp.108015. ⟨10.1016/j.visres.2022.108015⟩ (2022)
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Additional file 3 of Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models ...
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Additional file 3 of Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models ...
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Graph Adaptation Network with Domain-Specific Word Alignment for Cross-Domain Relation Extraction
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In: Sensors (Basel) (2020)
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Abstract:
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 features when there is no labeled data in the target domain. The graph uses domain words as nodes to model the co-occurrence relation between domain-specific words and domain-independent words. Through graph convolutions on the tripartite graph, the information of domain-specific words is propagated so that the word representation can be fine-tuned to align domain-specific features. In addition, unlike the traditional graph structure, the weights of edges innovatively combine fixed weight and dynamic weight, to capture the global non-local features and avoid introducing noise to word representation. Experiments on three domains of ACE2005 datasets show that our method outperforms the state-of-the-art models by a big margin.
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Keyword:
Article
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765263/ https://doi.org/10.3390/s20247180 http://www.ncbi.nlm.nih.gov/pubmed/33333844
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Thriving at Work: A Multi-level and Longitudinal Investigation of Changes in Work Motivation and Employees’ Daily Well-being/Ill-being
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Own-Group Face Recognition Bias: The Effects of Location and Reputation
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Additional file 1: of High HIV incidence epidemic among men who have sex with men in china: results from a multi-site cross-sectional study ...
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Additional file 1: of High HIV incidence epidemic among men who have sex with men in china: results from a multi-site cross-sectional study ...
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On the facilitative effects of face motion on face recognition and its development
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Face contour is crucial to the fat face illusion.
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In: ISSN: 0301-0066 ; EISSN: 1468-4233 ; Perception ; https://hal.archives-ouvertes.fr/hal-00854702 ; Perception, SAGE Publications, 2013, 42 (5), pp.488-94 (2013)
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Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds:Four Kinds of Schema
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Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds
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A Comparative Study of Two Chinese Translations of Charlotte’s Web
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In: Studies in Literature and Language; Vol 2, No 1 (2011): Studies in Literature and Language; 51-56 ; 1923-1563 ; 1923-1555 (2011)
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Two faces of the other-race effect: recognition and categorisation of Caucasian and Chinese faces.
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In: ISSN: 0301-0066 ; EISSN: 1468-4233 ; Perception ; https://hal.archives-ouvertes.fr/hal-00827876 ; Perception, SAGE Publications, 2009, 38 (8), pp.1199-210 (2009)
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