$\mu$PLAN: Summarizing using a Content Plan as Cross-Lingual Bridge

Anonymous

Abstract: Cross-lingual summarization aims to generate a summary in one language given input in a different language, allowing for the dissemination of relevant content among different language speaking populations. The task is challenging mainly due to the paucity of cross-lingual datasets and the compounded difficulty of summarizing and translating. This work presents µPlan, an approach to cross-lingual summarization that uses an intermediate planning step as a cross-lingual bridge. We formulate the plan as a sequence of entities capturing the summary's content and the order in which it should be communicated. Importantly, our plans abstract from surface form: using a multilingual knowledge base, we align entities to their canonical designation across languages and generate the summary conditioned on this cross-lingual bridge and the input. Automatic and human evaluation on the XWikis dataset (across four language pairs) demonstrates that our planning objective achieves state-of-the-art performance in terms of informativeness and faithfulness. Moreover, µPlan models improve the zero-shot transfer to new cross-lingual language pairs compared to baselines without a planning component.

Paper Type: long

Research Area: Summarization

Contribution Types: NLP engineering experiment, Approaches to low-resource settings

Languages Studied: English, Czech, German, French

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