mlsanityData to 7 Oct 2026

Keyphrase Generation with Correlation Constraints

arXiv 1808.07185 ↗First posted 22 Aug 2018cs.CLcited by 45

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Abstract (arXiv)

In this paper, we study automatic keyphrase generation. Although conventional approaches to this task show promising results, they neglect correlation among keyphrases, resulting in duplication and coverage issues. To solve these problems, we propose a new sequence-to-sequence architecture for keyphrase generation named CorrRNN, which captures correlation among multiple keyphrases in two ways. First, we employ a coverage vector to indicate whether the word in the source document has been summarized by previous phrases to improve the coverage for keyphrases. Second, preceding phrases are taken into account to eliminate duplicate phrases and improve result coherence. Experiment results show that our model significantly outperforms the state-of-the-art method on benchmark datasets in terms of both accuracy and diversity.

Key facts. Cited by 45 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Aug 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 14; 2022: 9; 2023: 13; 2024: 6; 2025: 2; 2026: 1.

45 papers.

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  1. 2021One2Set: Generating Diverse Keyphrases as a Setcited by 41
  2. 2021Learning Rich Representation of Keyphrases from Textcited by 36
  3. 2021Keyphrase Generation for Scientific Document Retrievalcited by 23
  4. 2022Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Trainingcited by 16
  5. 2021UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Predictioncited by 15
  6. 2021Heterogeneous Graph Neural Networks for Keyphrase Generationcited by 15
  7. 2022Representation Learning for Resource-Constrained Keyphrase Generationcited by 14
  8. 2023From Statistical Methods to Deep Learning, Automatic Keyphrase Prediction: A Surveycited by 14
  9. 2021Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learningcited by 13
  10. 2022Applying a Generic Sequence-to-Sequence Model for Simple and Effective Keyphrase Generationcited by 13
  11. 2022Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Studycited by 13
  12. 2021Keyphrase Generation Beyond the Boundaries of Title and Abstractcited by 12
33 more
  1. 2023ChatGPT vs State-of-the-Art Models: A Benchmarking Study in Keyphrase Generation Taskcited by 12
  2. 2021Redefining Absent Keyphrases and their Effect on Retrieval Effectivenesscited by 11
  3. 2023Data Augmentation for Low-Resource Keyphrase Generationcited by 8
  4. 2023Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Modelscited by 8
  5. 2021KPDrop: Improving Absent Keyphrase Generationcited by 6
  6. 2022A Large-Scale Dataset for Biomedical Keyphrase Generationcited by 6
  7. 2024EUROPA: A Legal Multilingual Keyphrase Generation Datasetcited by 5
  8. 2021SGG: Learning to Select, Guide, and Generate for Keyphrase Generationcited by 4
  9. 2023Search-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Productioncited by 4
  10. 2023A Survey on Semantic Processing Techniquescited by 4
  11. 2024Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contextscited by 4
  12. 2023Hashtag-Guided Low-Resource Tweet Classificationcited by 3
  13. 2024On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generationcited by 3
  14. 2023Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extractioncited by 2
  15. 2023Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filteringcited by 2
  16. 2021Attend and select: A segment selective transformer for microblog hashtag generationcited by 1
  17. 2024Exploring Fine-tuned Generative Models for Keyphrase Selection: A Case Study for Russiancited by 1
  18. 2024Self-Compositional Data Augmentation for Scientific Keyphrase Generationcited by 1
  19. 2021SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysiscited by 0
  20. 2021VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Searchcited by 0
  21. 2021Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generationcited by 0
  22. 2022Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectorscited by 0
  23. 2022Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networkscited by 0
  24. 2022Explanation-Guided Fairness Testing through Genetic Algorithmcited by 0
  25. 2022Using Graph Neural Networks for Program Terminationcited by 0
  26. 2023Tribe or Not? Critical Inspection of Group Differences Using TribalGramcited by 0
  27. 2023Neural Keyphrase Generation: Analysis and Evaluationcited by 0
  28. 2023Unsupervised Open-domain Keyphrase Generationcited by 0
  29. 2023KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answeringcited by 0
  30. 2024Mitigating the Negative Impact of Over-association for Conversational Query Productioncited by 0
  31. 2025Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-Sample Aggregation on Large Language Modelscited by 0
  32. 2025An Analysis of Datasets, Metrics and Models in Keyphrase Generationcited by 0
  33. 2026Evaluating the Homogeneity of Keyphrase Prediction Modelscited by 0