• Bai X, Wu X, Stojkovic I and Tsioutsiouliklis K. Leveraging Large Language Models for Improving Keyphrase Generation for Contextual Targeting. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. (4349-4357).

    https://doi.org/10.1145/3627673.3680093

  • Li S, Jiang T and Zhang Y. (2024). A Phrase-Level Attention Enhanced CRF for Keyphrase Extraction. Advances in Information Retrieval. 10.1007/978-3-031-56027-9_28. (455-469).

    https://link.springer.com/10.1007/978-3-031-56027-9_28

  • Zhang Y, Yang T, Jiang T, Li X and Wang S. Hyperbolic Deep Keyphrase Generation. Machine Learning and Knowledge Discovery in Databases. (521-536).

    https://doi.org/10.1007/978-3-031-26390-3_30

  • Zhang Y, Jiang T, Yang T, Li X and Wang S. HTKG. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. (1044-1054).

    https://doi.org/10.1145/3477495.3531990

  • Zhang Y, Liu H, Wang S, Ip. W, Fan W and Xiao C. (2019). Automatic keyphrase extraction using word embeddings. Soft Computing. 10.1007/s00500-019-03963-y. 24:8. (5593-5608). Online publication date: 1-Apr-2020.

    http://link.springer.com/10.1007/s00500-019-03963-y

  • Zhang Y, Liu H, Shi B, Li X and Wang S. (2020). WEKE: Learning Word Embeddings for Keyphrase Extraction. Web and Big Data. 10.1007/978-3-030-60290-1_19. (245-260).

    http://link.springer.com/10.1007/978-3-030-60290-1_19

  • Zhou T, Zhang Y and Zhu H. (2020). Multi-level Memory Network with CRFs for Keyphrase Extraction. Advances in Knowledge Discovery and Data Mining. 10.1007/978-3-030-47426-3_56. (726-738).

    http://link.springer.com/10.1007/978-3-030-47426-3_56

  • Wang X, Wang R, Bao Z, Liang J and Lu W. Effective Medical Archives Processing Using Knowledge Graphs. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. (1141-1144).

    https://doi.org/10.1145/3331184.3331350