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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 26–50 of 81 papers

TitleStatusHype
Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical StudyCode1
A Large-Scale Dataset for Biomedical Keyphrase GenerationCode0
WR-ONE2SET: Towards Well-Calibrated Keyphrase GenerationCode0
Automatic Keyphrase Generation by Incorporating Dual Copy Mechanisms in Sequence-to-Sequence Learning—0
Applying Transformer-based Text Summarization for Keyphrase Generation—0
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase GenerationCode0
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative TrainingCode1
LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents—0
Representation Learning for Resource-Constrained Keyphrase GenerationCode1
Causal Language Model for Zero-shot Constrained Keyphrase Generation—0
Representation Learning for Resource-Constrained Keyphrase Generation—0
Applying a Generic Sequence-to-Sequence Model for Simple and Effective Keyphrase Generation—0
Learning Rich Representation of Keyphrases from TextCode1
Keyphrase Generation Beyond the Boundaries of Title and AbstractCode0
KPDrop: Improving Absent Keyphrase GenerationCode0
Neural Keyphrase Generation: Analysis and Evaluation—0
Autoregressive Language Model for Zero-shot Constrained Keyphrase Generation—0
Structure-Augmented Keyphrase GenerationCode0
Deep Keyphrase Completion—0
Learning Rich Representation of Keyphrases from Text—0
Heterogeneous Graph Neural Networks for Keyphrase GenerationCode1
Keyphrase Generation for Scientific Document RetrievalCode1
One2Set: Generating Diverse Keyphrases as a SetCode1
SGG: Learning to Select, Guide, and Generate for Keyphrase GenerationCode0
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement LearningCode1
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