Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 46
Number of items: 46
  • Open Access
    Pradeep, R., Liu, Y., Zhang, X., Li, Y., Yates, A., & Lin, J. (2022). Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking. In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022 : proceedings (Vol. I, pp. 655–670). (Lecture Notes in Computer Science; Vol. 13185). Springer. https://doi.org/10.1007/978-3-030-99736-6_44
  • Zheng, Z., Hui, K., He, B., Han, X., Sun, L., & Yates, A. (2021). Contextualized query expansion via unsupervised chunk selection for text retrieval. Information Processing & Management, 58(5), Article 102672. https://doi.org/10.1016/j.ipm.2021.102672
  • Jose, K. M., Nguyen, T., MacAvaney, S., Dalton, J., & Yates, A. (2021). DiffIR: Exploring Differences in Ranking Models' Behavior. In SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada (pp. 2595-2599). Association for Computing Machinery. https://doi.org/10.1145/3404835.3462784
  • Mackie, I., Dalton, J., & Yates, A. (2021). How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. In SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada (pp. 2335–2341). Association for Computing Machinery. https://doi.org/10.1145/3404835.3463262
  • Open Access
    Tigunova, A., Mirza, P., Yates, A., & Weikum, G. (2021). PRIDE: Predicting Relationships in Conversations. In M.-C. Moens, X. Huang, L. Specia, & S. W. Yih (Eds.), 2021 Conference on Empirical Methods in Natural Language Processing: EMNLP 2021 : proceedings of the conference : November 7-11, 2021 (pp. 4636–4650). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.emnlp-main.380
  • Open Access
    MacAvaney, S., Yates, A., Feldman, S., Downey, D., Cohan, A., & Goharian, N. (2021). Simplified Data Wrangling with ir_datasets. In SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada (pp. 2429-2436). Association for Computing Machinery. https://doi.org/10.48550/arXiv.2103.02280, https://doi.org/10.1145/3404835.3463254
Page 5 of 5