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Found 3 papers, 1 papers with code
KETM:A Knowledge-Enhanced Text Matching method
To this end, in this paper, We introduce a new model for text matching called the Knowledge Enhanced Text Matching model (KETM), to enrich contextual representations with real-world common-sense knowledge from external knowledge sources to enhance our model understanding and reasoning.
Automatic segmentation of meniscus based on MAE self-supervision and point-line weak supervision paradigm
Medical image segmentation based on deep learning is often faced with the problems of insufficient datasets and long time-consuming labeling.
DEIM: An effective deep encoding and interaction model for sentence matching
To solve this problem, we propose a sentence matching method based on deep encoding and interaction to extract deep semantic information.
Ranked #22 on
Natural Language Inference
on SNLI
