Original paper
HEGEL: Hypergraph Transformer for Long Document Summarization
Published: Jan 1, 2022
Abstract
Extractive summarization for long documents is challenging due to the extended structured input context. The long-distance sentence dependency hinders cross-sentence relations modeling, the critical step of extractive summarization. This paper proposes HEGEL, a hypergraph neural network for long document summarization by capturing high-order cross-sentence relations. HEGEL updates and learns effective sentence representations with hypergraph...
Paper Details
Title
HEGEL: Hypergraph Transformer for Long Document Summarization
Published Date
Jan 1, 2022