Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset

• URL: http://arxiv.org/abs/2110.01073v1
• Date: Sun, 3 Oct 2021 19:10:28 GMT
• Title: Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset
• Authors: Ori Shapira, Ramakanth Pasunuru, Ido Dagan, Yael Amsterdamer
• Abstract summary: Multi-document keyphrase extraction has been infrequently studied, despite its utility for describing sets of documents. We present here the first literature review and the first dataset for the task, MK-DUC-01, which can serve as a new benchmark.
• Score: 24.91326715164367
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Keyphrase extraction has been comprehensively researched within the single-document setting, with an abundance of methods and a wealth of datasets. 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 dataset existed 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 initiate this pursuit, we present here the first literature review and the first dataset for the task, MK-DUC-01, which can serve as a new benchmark. We test several keyphrase extraction baselines on our data and show their results.

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