If you made any changes in Pure these will be visible here soon.

Fingerprint

Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
  • 1 Similar Profiles

Network

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Controllable and diverse text generation in e-commerce

    Shao, H., Wang, J., Lin, H., Zhang, X., Zhang, A., Ji, H. & Abdelzaher, T., Apr 19 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, Inc, p. 2392-2401 10 p. (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Cross-lingual joint entity and word embedding to improve entity linking and parallel sentence mining

    Pan, X., Gowda, T., Ji, H., May, J. & Miller, S., 2021, DeepLo@EMNLP-IJCNLP 2019 - Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing - Proceedings. Association for Computational Linguistics (ACL), p. 56-66 11 p. (DeepLo@EMNLP-IJCNLP 2019 - Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Deep Learning on Graphs for Natural Language Processing

    Wu, L., Chen, Y. & Ji, H., Jul 11 2021, SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 2651-2653 3 p. 3462809. (SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Deep Learning on Graphs for Natural Language Processing

    Wu, L., Chen, Y., Ji, H. & Liu, B., Aug 14 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 4084-4085 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • ERICA: Improving entity and relation understanding for pre-trained language models via contrastive learning

    Qin, Y., Lin, Y., Takanobu, R., Liu, Z., Li, P., Ji, H., Huang, M., Sun, M. & Zhou, J., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3350-3363 14 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution