Semi-Supervised Learning for Neural Keyphrase Generation

We study the problem of generating keyphrases that summarize the key points for a given document. While sequence-to-sequence (seq2seq) models have achieved remarkable performance on this task In this paper, we propose semi-supervised keyphrase generation methods by leveraging both labeled data and l... View More