Keyphrase prediction aims to generate phrases (keyphrases) that highly summarizes a
given document. Recently, researchers have conducted in-depth studies on this task from …

The encoder-decoder framework achieves state-of-the-art results in keyphrase generation
(KG) tasks by predicting both present keyphrases that appear in the source document and …

Keyphrase generation is the task of generating phrases (keyphrases) that summarize the
main topics of a given document. Keyphrases can be either present or absent from the given …

Aiming to generate a set of keyphrases, Keyphrase Generation (KG) is a classical task for
capturing the central idea from a given document. Based on Seq2Seq models, the previous …

With the wide application of keyphrases in many Information Retrieval (IR) and Natural
Language Processing (NLP) tasks, automatic keyphrase prediction has been emerging …

State-of-the-art models for keyphrase generation require large amounts of training data to
achieve good performance. However, obtaining keyphrase-labeled documents can be …

Keyphrase generation is the task of generating phrases (keyphrases) that summarize the
main topics of a given document. The generated keyphrases can be either present or absent …

In the keyphrase prediction task, it is usually difficult for a single corpus information to help
the model learn enough core information, so this paper improves the current keyphrase …