mlsanityData to 7 Oct 2026

Applying a Generic Sequence-to-Sequence Model for Simple and Effective Keyphrase Generation

arXiv 2201.05302 ↗First posted 14 Jan 2022cs.CL cs.AIcited by 13

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Abstract (arXiv)

In recent years, a number of keyphrase generation (KPG) approaches were proposed consisting of complex model architectures, dedicated training paradigms and decoding strategies. In this work, we opt for simplicity and show how a commonly used seq2seq language model, BART, can be easily adapted to generate keyphrases from the text in a single batch computation using a simple training procedure. Empirical results on five benchmarks show that our approach is as good as the existing state-of-the-art KPG systems, but using a much simpler and easy to deploy framework.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 21 of its 31 references that are in the map. First posted on arXiv 14 Jan 2022.

Builds on

21 of 31 references.

References · 21

  1. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  3. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  4. 2020KILT: a Benchmark for Knowledge Intensive Language Taskscited by 571
  5. 2017Deep Keyphrase Generationcited by 102
  6. 2018One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrasescited by 52
  7. 2021Text-to-Table: A New Way of Information Extractioncited by 47
  8. 2018Keyphrase Generation with Correlation Constraintscited by 45
  9. 2019Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewardscited by 41
  10. 2020Exclusive Hierarchical Decoding for Deep Keyphrase Generationcited by 38
  11. 2018Semi-Supervised Learning for Neural Keyphrase Generationcited by 36
  12. 2018Title-Guided Encoding for Keyphrase Generationcited by 36
9 more
  1. 2019An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extractioncited by 28
  2. 2020An Empirical Study on Neural Keyphrase Generationcited by 25
  3. 2021Robust Retrieval Augmented Generation for Zero-shot Slot Fillingcited by 24
  4. 2021Keyphrase Generation for Scientific Document Retrievalcited by 23
  5. 2021Intent Classification and Slot Filling for Privacy Policiescited by 18
  6. 2021Heterogeneous Graph Neural Networks for Keyphrase Generationcited by 15
  7. 2021Generative Relation Linking for Question Answering over Knowledge Basescited by 14
  8. 2021Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learningcited by 13
  9. 2019Keyphrase Generation: A Text Summarization Strugglecited by 12

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 4; 2023: 4; 2024: 3; 2025: 1; 2026: 1.

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  1. 2023From Statistical Methods to Deep Learning, Automatic Keyphrase Prediction: A Surveycited by 14
  2. 2022Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Studycited by 13
  3. 2023Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Modelscited by 8
  4. 2022Applying Transformer-based Text Summarization for Keyphrase Generationcited by 6
  5. 2022A Large-Scale Dataset for Biomedical Keyphrase Generationcited by 6
  6. 2024EUROPA: A Legal Multilingual Keyphrase Generation Datasetcited by 5
  7. 2024Pre-Trained Language Models for Keyphrase Prediction: A Reviewcited by 3
  8. 2024One2set + Large Language Model: Best Partners for Keyphrase Generationcited by 3
  9. 2022Detecting Generated Scientific Papers using an Ensemble of Transformer Modelscited by 1
  10. 2023Language Model as an Annotator: Unsupervised Context-aware Quality Phrase Generationcited by 1
  11. 2023Cross-Domain Robustness of Transformer-based Keyphrase Generationcited by 0
  12. 2025QExplorer: Large Language Model Based Query Extraction for Toxic Content Explorationcited by 0
1 more
  1. 2026Evaluating the Homogeneity of Keyphrase Prediction Modelscited by 0