Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach

Diogo Pernes, Gonçalo M. Correia, Afonso Mendes
10/1/2024
cs.CLcs.AIcs.LG

No official code found. Best implementation: Priberam/MTXLSum (1 star, last commit 2024-11-18).

Abstract

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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Multi-Target Cross-Lingual Summarization

10PythonSep 24, 20241 years ago

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Cite this paper

@article{pernes2024multitarget,
  title  = {Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach},
  author = {Diogo Pernes and Gonçalo M. Correia and Afonso Mendes},
  year   = {2024},
  eprint = {2410.00502},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.00502v1}
}

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