Title | ||
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Adversarial Learning with Domain-Adaptive Pretraining for Few-Shot Relation Classification across Domains |
Abstract | ||
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The existing methods for domain-adaptive few-shot relation classification based on word embeddings or pretraining models trained on massive corpora, are not strong enough to cover the wide disparity of text and relation definitions to the specific target domain, leading to the inferior performance. To fill in this gap, here we propose an enhanced adversarial approach utilizing domain-adaptive pret... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/ICCCS52626.2021.9449297 | 2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) |
Keywords | DocType | ISBN |
Adaptation models,Communication systems,Conferences,Semantics,Bit error rate,Complexity theory,Task analysis | Conference | 978-1-6654-1256-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wen Qian | 1 | 0 | 0.34 |
Zhu Yuesheng | 2 | 112 | 39.21 |