From Fundamentals to Recent Advances: A Tutorial on Keyphrasification

Rui Meng, Debanjan Mahata, Florian Boudin

Abstract: Keyphrases represent the most important information of text which often serve as a surrogate for efficiently summarizing text documents. With the advancement of deep neural networks, recent years have witnessed rapid development in automatic identification of keyphrases. The performance of keyphrase extraction methods has been greatly improved by the progresses made in natural language understanding, enable models to predict relevant phrases not mentioned in the text. We name the task of summarizing texts with phrases keyphrasification.