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Found 3 papers, 2 papers with code
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy
Most work on multi-document summarization has focused on generic summarization of information present in each individual document set.
Comparative Document Summarisation via Classification
This paper considers extractive summarisation in a comparative setting: given two or more document groups (e. g., separated by publication time), the goal is to select a small number of documents that are representative of each group, and also maximally distinguishable from other groups.
Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance
Images in the wild encapsulate rich knowledge about varied abstract concepts and cannot be sufficiently described with models built only using image-caption pairs containing selected objects.
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