Entity-based SpanCopy for Abstractive Summarization to Improve the Factual Consistency
Xiao Wen, Giuseppe Carenini · 2023
Discourse-aware techniques, including entityaware approaches, play a crucial role in summarization.In this paper, we propose an entity-based SpanCopy mechanism to tackle the entity-level factual inconsistency problem in abstractive summarization, i.e. reducing the mismatched entities between the generated summaries and the source documents.Complemented by a Global Relevance component to identify summary-worthy entities, our approach demonstrates improved factual consistency while preserving saliency on four summarization datasets, contributing to the effective application of discourse-aware methods summarization tasks. 1