From statistical methods to deep learning, automatic keyphrase prediction: A survey

B Xie, J Song, L Shao, S Wu, X Wei, B Yang… - Information Processing …, 2023 - Elsevier
Keyphrase prediction aims to generate phrases (keyphrases) that highly summarizes a
given document. Recently, researchers have conducted in-depth studies on this task from …

DKPE: Deep KeyPhrase Expansion

H Du, Z Xie, J Song, Y Yuan, J Li, X Chen, H Chen… - Neurocomputing, 2024 - Elsevier
Keyphrase provides accurate information of document content that is highly compact,
concise, full of meanings, and widely used for discourse comprehension, organization, and …

Generation of highlights from research papers using pointer-generator networks and scibert embeddings

T Rehman, DK Sanyal, S Chattopadhyay… - IEEE …, 2023 - ieeexplore.ieee.org
Nowadays many research articles are prefaced with research highlights to summarize the
main findings of the paper. Highlights not only help researchers precisely and quickly …

A Multi-Source drug combination and Omnidirectional feature fusion approach for predicting Drug-Drug interaction events

S Gao, J Xie, Y Zhao - Journal of Biomedical Informatics, 2025 - Elsevier
Background In the medical context where polypharmacy is increasingly common, accurately
predicting drug-drug interactions (DDIs) is necessary for enhancing clinical medication …

Improving Absent Keyphrase Generation with Diversity Heads

E Thomas, S Vajjala - Findings of the Association for …, 2024 - aclanthology.org
Keyphrase Generation (KPG) is the task of automatically generating appropriate keyphrases
for a given text, with a wide range of real-world applications such as document indexing and …