让一篇文档生成多个语种的语义一致摘要。
Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach
- 提出多目标跨语言摘要任务，确保多语种摘要语义一致。
- 设计重排序方法与多维度评估协议，提升跨语言一致性。
- 适合多语言信息整合与跨语言内容对齐的研究者。
跨语言摘要旨在通过将不同语言的文档摘要化来跨越语言障碍。然而，在多种语言间保持语义连贯性这一关键挑战长期被忽视，且在诸多场景中至关重要。为填补此空白，我们提出多目标跨语言摘要任务：将一份文档同时摘要成多种目标语言，且要求生成的摘要在语义上保持相似。为此，我们提出一种原则性的重排序方法，并设计了一套多准则评估协议，用于衡量不同语言摘要间的语义连贯性。这是该问题的首个系统性探索，有望激发后续研究。
原文摘要 · Abstract (English)
Cross-lingual summarization aims to bridge language barriers by summarizing documents in different languages. However, ensuring semantic coherence across languages is an overlooked challenge and can be critical in several contexts. To fill this gap, we introduce multi-target cross-lingual summarization as the task of summarizing a document into multiple target languages while ensuring that the produced summaries are semantically similar. We propose a principled re-ranking approach to this problem and a multi-criteria evaluation protocol to assess semantic coherence across target languages, marking a first step that will hopefully stimulate further research on this problem.
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