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Keyphrase Generation

Keyphrase Generation aims at generating keyphrases (or phrases) that best summarize a given text article or document.

Papers

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Showing 1–25 of 81 papers

TitleStatusHype
On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase GenerationCode1
SimCKP: Simple Contrastive Learning of Keyphrase RepresentationsCode1
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence ModelsCode1
KPEval: Towards Fine-Grained Semantic-Based Keyphrase EvaluationCode1
Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical StudyCode1
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative TrainingCode1
Representation Learning for Resource-Constrained Keyphrase GenerationCode1
Learning Rich Representation of Keyphrases from TextCode1
Heterogeneous Graph Neural Networks for Keyphrase GenerationCode1
Keyphrase Generation for Scientific Document RetrievalCode1
One2Set: Generating Diverse Keyphrases as a SetCode1
Unsupervised Deep Keyphrase GenerationCode1
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement LearningCode1
Persian Keyphrase Generation Using Sequence-to-Sequence ModelsCode1
Keyphrase Generation with Cross-Document AttentionCode1
Exclusive Hierarchical Decoding for Deep Keyphrase GenerationCode1
An Analysis of Datasets, Metrics and Models in Keyphrase GenerationCode0
ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase GenerationCode0
KAPPA: A Generic Patent Analysis Framework with Keyphrase-Based Portraits—0
Self-Compositional Data Augmentation for Scientific Keyphrase GenerationCode0
Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases—0
One2set + Large Language Model: Best Partners for Keyphrase GenerationCode0
Enhancing Automatic Keyphrase Labelling with Text-to-Text Transfer Transformer (T5) Architecture: A Framework for Keyphrase Generation and Filtering—0
Unsupervised Domain Adaptation for Keyphrase Generation using Citation ContextsCode0
Pre-Trained Language Models for Keyphrase Prediction: A Review—0
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