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Found 3 papers, 1 papers with code
Can Open Domain Question Answering Systems Answer Visual Knowledge Questions?
In this work, we propose a potentially data-efficient approach that reuses existing systems for (a) image analysis, (b) question rewriting, and (c) text-based question answering to answer such visual questions.
Data-efficient Neural Text Compression with Interactive Learning
Neural sequence-to-sequence models have been successfully applied to text compression.
Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback
In this paper, we propose an extractive multi-document summarization (MDS) system using joint optimization and active learning for content selection grounded in user feedback.
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