most citedInductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering

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cs.CL2020★ 1 cited

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering

Xin Cong, Bowen Yu, Tingwen Liu +3

Few-shot classification tends to struggle when it needs to adapt to diverse domains. Due to the non-overlapping label space between domains, the performance of conventional domain…

cs.CL2020

HIN: Hierarchical Inference Network for Document-Level Relation Extraction

Hengzhu Tang, Yanan Cao, Zhenyu Zhang +4

Document-level RE requires reading, inferring and aggregating over multiple sentences. From our point of view, it is necessary for document-level RE to take advantage of multi-gran…