mlsanityData to 7 Oct 2026

A Large-Scale Dataset for Biomedical Keyphrase Generation

arXiv 2211.12124 ↗First posted 22 Nov 2022cs.CLcited by 6

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Abstract (arXiv)

Keyphrase generation is the task consisting in generating a set of words or phrases that highlight the main topics of a document. There are few datasets for keyphrase generation in the biomedical domain and they do not meet the expectations in terms of size for training generative models. In this paper, we introduce kp-biomed, the first large-scale biomedical keyphrase generation dataset with more than 5M documents collected from PubMed abstracts. We train and release several generative models and conduct a series of experiments showing that using large scale datasets improves significantly the performances for present and absent keyphrase generation. The dataset is available under CC-BY-NC v4.0 license at https://huggingface.co/ datasets/taln-ls2n/kpbiomed.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 18 of its 35 references that are in the map. First posted on arXiv 22 Nov 2022.

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18 of 35 references.

References · 18

  1. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  2. 2014Sequence to Sequence Learning with Neural Networkscited by 2,974
  3. 2019Document Expansion by Query Predictioncited by 225
  4. 2017Deep Keyphrase Generationcited by 102
  5. 2017SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publicationscited by 101
  6. 2022BioBART: Pretraining and Evaluation of A Biomedical Generative Language Modelcited by 83
  7. 2018Unsupervised Keyphrase Extraction with Multipartite Graphscited by 50
  8. 2018Keyphrase Generation with Correlation Constraintscited by 45
  9. 2019Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewardscited by 41
  10. 2019KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documentscited by 41
  11. 2018Semi-Supervised Learning for Neural Keyphrase Generationcited by 36
  12. 2018Title-Guided Encoding for Keyphrase Generationcited by 36
6 more
  1. 2020An Empirical Study on Neural Keyphrase Generationcited by 25
  2. 2020Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attentioncited by 24
  3. 2021Keyphrase Generation for Scientific Document Retrievalcited by 23
  4. 2022Applying a Generic Sequence-to-Sequence Model for Simple and Effective Keyphrase Generationcited by 13
  5. 2022LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documentscited by 13
  6. 2021Redefining Absent Keyphrases and their Effect on Retrieval Effectivenesscited by 11

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Cited by year (2026 to 7 Oct)

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

6 papers.

  1. 2023ChatGPT vs State-of-the-Art Models: A Benchmarking Study in Keyphrase Generation Taskcited by 12
  2. 2024Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contextscited by 4
  3. 2024Self-Compositional Data Augmentation for Scientific Keyphrase Generationcited by 1
  4. 2024MetaKP: On-Demand Keyphrase Generationcited by 0
  5. 2025An Analysis of Datasets, Metrics and Models in Keyphrase Generationcited by 0
  6. 2026Evaluating the Homogeneity of Keyphrase Prediction Modelscited by 0