Ammar, K., Sahu, S., Salihoglu, S., & Ozsu, T. (2022). Optimizing Differentially-Maintained Recursive Queries on Dynamic Graphs Proceedings of the VLDB Endowment (PVLDB), 15, 3186-3198. Retrieved from https://www.vldb.org/pvldb/vol15/p3186-ammar.pdf
References
Filter by:
2022
Shehata, D., Arabzadeh, N., & Clarke, C. (2022). Early Stage Sparse Retrieval With Entity Linking ArXiv, abs/2208.04887. https://doi.org/10.48550/arXiv.2208.04887
Lin, J., Alfonso-Hermelo, D., Jeronymo, V., Kamalloo, E., Lassance, C., Nogueira, R. F., … Zhang, X. (2022). Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval Presented at the Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval conference. Retrieved from https://trec.nist.gov/pubs/trec31/papers/h2oloo.N.pdf
Arabzadeh, N., Seifikar, M., & Clarke, C. (2022). Unsupervised Question Clarity Prediction Through Retrieved Item Coherency Presented at the Unsupervised Question Clarity Prediction Through Retrieved Item Coherency conference. https://doi.org/10.1145/3511808.3557719
Tang, R., Kumar, K., Xin, J., Vyas, P., Li, W., Yang, G., … Lin, J. (2022). Temporal Early Exiting for Streaming Speech Commands Recognition Presented at the Temporal Early Exiting for Streaming Speech Commands Recognition conference. https://doi.org/10.1109/ICASSP43922.2022.9746863
Thakur, N., Reimers, N., & Lin, J. (2022). Domain Adaptation for Memory-Efficient Dense Retrieval ArXiv, abs/2205.11498. https://doi.org/10.48550/arXiv.2205.11498
Ogundepo, O., Zhang, X., Sun, S., Duh, K., & Lin, J. (2022). AfriCLIRMatrix: Enabling Cross-Lingual Information Retrieval for African Languages Presented at the AfriCLIRMatrix: Enabling Cross-Lingual Information Retrieval for African Languages conference. Retrieved from https://aclanthology.org/2022.emnlp-main.597
Trotman, A., Mackenzie, J., Parameswaran, P., & Lin, J. (2022). A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods Presented at the A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods conference. https://doi.org/10.1145/3477495.3531657
Ilyas, I., & Naumann, F. (2022). Data Errors: Symptoms, Causes and Origins IEEE Data Engineering Bulletin, 45, 4-9. Retrieved from http://sites.computer.org/debull/A22mar/p4.pdf
Yan, D., Guo, G., Khalil, J., Ozsu, T., Ku, W.-S., & Lui, J. C. S. (2022). G-Thinker: A General Distributed Framework for Finding Qualified Subgraphs In a Big Graph With Load Balancing The VLDB Journal, 31, 287-320. https://doi.org/10.1007/s00778-021-00688-z