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

Neural models that do not rely on pre-training have excelled in the keyphrase generation
task with large annotated datasets. Meanwhile, new approaches have incorporated pre …

Keyphrase Prediction (KP) is essential for identifying keyphrases in a document that can
summarize its content. However, recent Natural Language Processing (NLP) advances have …

This study addresses the application of encoder-only Pre-trained Language Models (PLMs)
in keyphrase generation (KPG) amidst the broader availability of domain-tailored encoder …

Keyphrase generation is the task of summarizing the contents of any given article into a few
salient phrases (or keyphrases). Existing works for the task mostly rely on large-scale …

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 …

Generating a set of keyphrases that convey the main concepts discussed in a document has
been applied to improve various applications including document retrieval and online …

Keyphrase generation (KG) aims to generate a set of summarizing words or phrases given a
source document, while keyphrase extraction (KE) aims to identify them from the text …

Adapting keyphrase generation models to new domains typically involves few-shot fine-
tuning with in-domain labeled data. However, annotating documents with keyphrases is …

Keyphrase generation aims at generating topical phrases from a given text either by copying
from the original text (present keyphrases) or by producing new keyphrases (absent …