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arXiv · 2110.01073

Multi-Document Keyphrase Extraction: Dataset, Baselines and Review

Ori Shapira·Ramakanth Pasunuru·Ido Dagan·Yael Amsterdamer
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Abstract

Keyphrase extraction has been extensively researched within the single-document setting, with an abundance of methods, datasets and applications. In contrast, multi-document keyphrase extraction has been infrequently studied, despite its utility for describing sets of documents, and its use in summarization. Moreover, no prior dataset exists for multi-document keyphrase extraction, hindering the progress of the task. Recent advances in multi-text processing make the task an even more appealing challenge to pursue. To stimulate this pursuit, we present here the first dataset for the task, MK-DUC-01, which can serve as a new benchmark, and test multiple keyphrase extraction baselines on our data. In addition, we provide a brief, yet comprehensive, literature review of the task.

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Ori Shapira, Ramakanth Pasunuru, Ido Dagan, Yael Amsterdamer. 2021-10-03. Multi-Document Keyphrase Extraction: Dataset, Baselines and Review. https://arxiv.org/abs/2110.01073

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