  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.
