mlsanityData to 14 Oct 2026

Data Augmentation for Low-Resource Keyphrase Generation

arXiv 2305.17968 ↗First posted 29 May 2023cs.CLcited by 8

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Abstract (arXiv)

Keyphrase generation is the task of summarizing the contents of any given article into a few salient phrases (or keyphrases). Existing works for the task mostly rely on large-scale annotated datasets, which are not easy to acquire. Very few works address the problem of keyphrase generation in low-resource settings, but they still rely on a lot of additional unlabeled data for pretraining and on automatic methods for pseudo-annotations. In this paper, we present data augmentation strategies specifically to address keyphrase generation in purely resource-constrained domains. We design techniques that use the full text of the articles to improve both present and absent keyphrase generation. We test our approach comprehensively on three datasets and show that the data augmentation strategies consistently improve the state-of-the-art performance. We release our source code at https://github.com/kgarg8/kpgen-lowres-data-aug.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 30 of its 52 references that are in the map. First posted on arXiv 29 May 2023.

Builds on

30 of 52 references.

References · 30

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2017Get To The Point: Summarization with Pointer-Generator Networkscited by 1,292
  3. 2019Unsupervised Data Augmentation for Consistency Trainingcited by 1,060
  4. 2019EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Taskscited by 807
  5. 2016Incorporating Copying Mechanism in Sequence-to-Sequence Learningcited by 218
  6. 2017Data Augmentation for Low-Resource Neural Machine Translationcited by 139
  7. 2017SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publicationscited by 102
  8. 2017Deep Keyphrase Generationcited by 102
  9. 2020An Analysis of Simple Data Augmentation for Named Entity Recognitioncited by 76
  10. 2018One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrasescited by 52
  11. 2018Keyphrase Generation with Correlation Constraintscited by 45
  12. 2019Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewardscited by 41
18 more
  1. 2019KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documentscited by 41
  2. 2020GenAug: Data Augmentation for Finetuning Text Generatorscited by 41
  3. 2021One2Set: Generating Diverse Keyphrases as a Setcited by 41
  4. 2020Exclusive Hierarchical Decoding for Deep Keyphrase Generationcited by 38
  5. 2018Semi-Supervised Learning for Neural Keyphrase Generationcited by 36
  6. 2021Learning Rich Representation of Keyphrases from Textcited by 36
  7. 2019An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extractioncited by 28
  8. 2020Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attentioncited by 24
  9. 2021UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Predictioncited by 15
  10. 2021Heterogeneous Graph Neural Networks for Keyphrase Generationcited by 15
  11. 2022Representation Learning for Resource-Constrained Keyphrase Generationcited by 14
  12. 2022LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documentscited by 13
  13. 2021Keyphrase Generation Beyond the Boundaries of Title and Abstractcited by 12
  14. 2019Keyphrase Generation: A Multi-Aspect Surveycited by 8
  15. 2021Unsupervised Deep Keyphrase Generationcited by 7
  16. 2021KPDrop: Improving Absent Keyphrase Generationcited by 6
  17. 2022A Data Cartography based MixUp for Pre-trained Language Modelscited by 5
  18. 2022Improving Keyphrase Extraction with Data Augmentation and Information Filteringcited by 1

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Cited by year

Citing papers per year: 2023: 1; 2024: 5; 2025: 2.

8 papers.

  1. 2023Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Modelscited by 8
  2. 2024EUROPA: A Legal Multilingual Keyphrase Generation Datasetcited by 5
  3. 2024Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contextscited by 4
  4. 2024Pre-Trained Language Models for Keyphrase Prediction: A Reviewcited by 3
  5. 2024On Evaluation Protocols for Data Augmentation in a Limited Data Scenariocited by 2
  6. 2024Self-Compositional Data Augmentation for Scientific Keyphrase Generationcited by 1
  7. 2025Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-Sample Aggregation on Large Language Modelscited by 0
  8. 2025An Analysis of Datasets, Metrics and Models in Keyphrase Generationcited by 0