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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 51–75 of 81 papers

TitleStatusHype
Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness—0
Representation Learning for Resource-Constrained Keyphrase Generation—0
Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention—0
Semi-Supervised Learning for Neural Keyphrase Generation—0
SenSeNet: Neural Keyphrase Generation with Document Structure—0
TAN-NTM: Topic Attention Networks for Neural Topic Modeling—0
Title-Guided Encoding for Keyphrase Generation—0
Unsupervised Open-domain Keyphrase Generation—0
ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase GenerationCode0
A Large-Scale Dataset for Biomedical Keyphrase GenerationCode0
Structure-Augmented Keyphrase GenerationCode0
Unsupervised Domain Adaptation for Keyphrase Generation using Citation ContextsCode0
WR-ONE2SET: Towards Well-Calibrated Keyphrase GenerationCode0
Diverse Keyphrase Generation with Neural Unlikelihood TrainingCode0
Deep Keyphrase GenerationCode0
Data Augmentation for Low-Resource Keyphrase GenerationCode0
Topic-Aware Neural Keyphrase Generation for Social Media LanguageCode0
Self-Compositional Data Augmentation for Scientific Keyphrase GenerationCode0
KPDrop: Improving Absent Keyphrase GenerationCode0
Keyphrase Generation for Scientific Articles using GANsCode0
KPTimes: A Large-Scale Dataset for Keyphrase Generation on News DocumentsCode0
Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise FilteringCode0
An Analysis of Datasets, Metrics and Models in Keyphrase GenerationCode0
Keyphrase Generation Beyond the Boundaries of Title and AbstractCode0
MetaKP: On-Demand Keyphrase GenerationCode0
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