Multi-Document Keyphrase Extraction: Dataset, Baselines and Review
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.
Keywords
Cite
@article{arxiv.2110.01073,
title = {Multi-Document Keyphrase Extraction: Dataset, Baselines and Review},
author = {Ori Shapira and Ramakanth Pasunuru and Ido Dagan and Yael Amsterdamer},
journal= {arXiv preprint arXiv:2110.01073},
year = {2022}
}