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Found 4 papers, 2 papers with code
Document-Level Text Simplification: Dataset, Criteria and Baseline
Finally, we select several representative models as baseline models for this task and perform automatic evaluation and human evaluation.
Abstractive Multi-Document Summarization via Joint Learning with Single-Document Summarization
Single-document and multi-document summarizations are very closely related in both task definition and solution method.
Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization
In this paper, we propose a multi-granularity interaction network for extractive and abstractive multi-document summarization, which jointly learn semantic representations for words, sentences, and documents.
AMR-To-Text Generation with Graph Transformer
Abstract meaning representation (AMR)-to-text generation is the challenging task of generating natural language texts from AMR graphs, where nodes represent concepts and edges denote relations.
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