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Found 6 papers, 1 papers with code
A Spectral Method for Unsupervised Multi-Document Summarization
Multi-document summarization (MDS) aims at producing a good-quality summary for several related documents.
AesopAgent: Agent-driven Evolutionary System on Story-to-Video Production
In the Horizontal Layer, we introduce a novel RAG-based evolutionary system that optimizes the whole video generation workflow and the steps within the workflow.
An Anchor-Based Automatic Evaluation Metric for Document Summarization
The widespread adoption of reference-based automatic evaluation metrics such as ROUGE has promoted the development of document summarization.
Table-to-text Generation by Structure-aware Seq2seq Learning
In the decoding phase, dual attention mechanism which contains word level attention and field level attention is proposed to model the semantic relevance between the generated description and the table.
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Table-to-Text Generation
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Affinity-Preserving Random Walk for Multi-Document Summarization
Multi-document summarization provides users with a short text that summarizes the information in a set of related documents.
A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction
Distant-supervised relation extraction inevitably suffers from wrong labeling problems because it heuristically labels relational facts with knowledge bases.
