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This paper presents CafeTAL, a new Automatic Text Summarization algorithm by extraction. CafeTAL is based on a Transportation Network model combined with Word Mover’s Distance using Word Embeddings. The document employed in the reported experiments is a French language document composed of two different topics, including polysemous words. In order to get significant statistics, our evaluation protocol is based on the ROUGE metric using a vast number (245) of human judges. Our results are very encouraging.

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Automatic Text Summarization Based on Transportation Network and Word Mover’s Distances Embeddings: A Toy Experiment

  • 会议论文

  • 发表日期：

    2025年

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  • Judith-Agueda Roldán-Ahumada,
  • Martha-Lorena Avendaño-Garrido,
  • Juan-Manuel Torres-Moreno

摘要

This paper presents CafeTAL, a new Automatic Text Summarization algorithm by extraction. CafeTAL is based on a Transportation Network model combined with Word Mover’s Distance using Word Embeddings. The document employed in the reported experiments is a French language document composed of two different topics, including polysemous words. In order to get significant statistics, our evaluation protocol is based on the ROUGE metric using a vast number (245) of human judges. Our results are very encouraging.