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Found 6 papers, 1 papers with code
Contrastive Learning for Local and Global Learning MRI Reconstruction
Therefore, we propose a Spatial and Fourier Layer (SFL) to simultaneously learn the local and global information in Spatial and Fourier domains.
ListReader: Extracting List-form Answers for Opinion Questions
Question answering (QA) is a high-level ability of natural language processing.
Topic-Guided Abstractive Multi-Document Summarization
A critical point of multi-document summarization (MDS) is to learn the relations among various documents.
Sliding Selector Network with Dynamic Memory for Extractive Summarization of Long Documents
Neural-based summarization models suffer from the length limitation of text encoder.
Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching
We then employ a novel gated graph attention network to encode the constructed graph for sentence matching.
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks
They also often ignore the effect of topical information on capturing important contents.
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