Learning rich representation of keyphrases from text
In this work, we explore how to train task-specific language models aimed towards learning
rich representation of keyphrases from text documents. We experiment with different …
rich representation of keyphrases from text documents. We experiment with different …
From statistical methods to deep learning, automatic keyphrase prediction: A survey
Keyphrase prediction aims to generate phrases (keyphrases) that highly summarizes a
given document. Recently, researchers have conducted in-depth studies on this task from …
given document. Recently, researchers have conducted in-depth studies on this task from …
Chatgpt vs state-of-the-art models: A benchmarking study in keyphrase generation task
R Martínez-Cruz, AJ López-López, J Portela - Applied Intelligence, 2025 - Springer
Transformer-based language models, including ChatGPT, have demonstrated exceptional
performance in various natural language generation tasks. However, there has been limited …
performance in various natural language generation tasks. However, there has been limited …
Is chatgpt a good keyphrase generator? a preliminary study
The emergence of ChatGPT has recently garnered significant attention from the
computational linguistics community. To demonstrate its capabilities as a keyphrase …
computational linguistics community. To demonstrate its capabilities as a keyphrase …
Deep learning and embeddings-based approaches for keyphrase extraction: a literature review
N Giarelis, N Karacapilidis - Knowledge and Information Systems, 2024 - Springer
Keyphrase extraction is a subtask of natural language processing referring to the automatic
extraction of salient terms that semantically capture the key themes and topics of a …
extraction of salient terms that semantically capture the key themes and topics of a …
Fast and constrained absent keyphrase generation by prompt-based learning
Generating absent keyphrases, which do not appear in the input document, is challenging in
the keyphrase prediction task. Most previous works treat the problem as an autoregressive …
the keyphrase prediction task. Most previous works treat the problem as an autoregressive …
An empirical study on neural keyphrase generation
Recent years have seen a flourishing of neural keyphrase generation (KPG) works,
including the release of several large-scale datasets and a host of new models to tackle …
including the release of several large-scale datasets and a host of new models to tackle …
Pre-trained language models for keyphrase generation: A thorough empirical study
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 …
task with large annotated datasets. Meanwhile, new approaches have incorporated pre …
Wr-one2set: towards well-calibrated keyphrase generation
Keyphrase generation aims to automatically generate short phrases summarizing an input
document. The recently emerged ONE2SET paradigm (Ye et al., 2021) generates …
document. The recently emerged ONE2SET paradigm (Ye et al., 2021) generates …
Heterogeneous graph neural networks for keyphrase generation
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 …
(KG) tasks by predicting both present keyphrases that appear in the source document and …