Yang, J.-H., Ma, X., & Lin, J. (2021). Sparsifying Sparse Representations for Passage Retrieval by Top-K Masking ArXiv, abs/2112.09628. Retrieved from https://arxiv.org/abs/2112.09628
References
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2021
Pradeep, R., Ma, X., Nogueira, R. F., & Lin, J. (2021). Scientific Claim Verification With VerT5erini Presented at the Scientific Claim Verification With VerT5erini conference. Retrieved from https://www.aclweb.org/anthology/2021.louhi-1.11/
Lin, S.-C., Yang, J.-H., & Lin, J. (2021). Contextualized Query Embeddings for Conversational Search Presented at the Contextualized Query Embeddings for Conversational Search conference. Retrieved from https://aclanthology.org/2021.emnlp-main.77
Lin, S.-C., Yang, J.-H., & Lin, J. (2021). In-Batch Negatives for Knowledge Distillation With Tightly-Coupled Teachers for Dense Retrieval Presented at the In-Batch Negatives for Knowledge Distillation With Tightly-Coupled Teachers for Dense Retrieval conference. Retrieved from https://aclanthology.org/2021.repl4nlp-1.17
Grossman, M., & Cormack, G. (2021). The eDiscovery Medicine Show ArXiv, abs/2109.13908. Retrieved from https://arxiv.org/abs/2109.13908
Arabzadeh, N., Yan, X., & Clarke, C. (2021). Predicting Efficiency/Effectiveness Trade-Offs for Dense vs. Sparse Retrieval Strategy Selection Presented at the Predicting Efficiency Effectiveness Trade-Offs for Dense Vs. Sparse Retrieval Strategy Selection conference. https://doi.org/10.1145/3459637.3482159
Jin, G., & Salihoglu, S. (2021). Making RDBMSs Efficient on Graph Workloads Through Predefined Joins ArXiv, abs/2108.10540. Retrieved from https://arxiv.org/abs/2108.10540
Toman, D., & Weddell, G. (2021). FO Rewritability for OMQ Using Beth Definability and Interpolation Presented at the FO Rewritability for OMQ Using Beth Definability and Interpolatio conference. Retrieved from http://ceur-ws.org/Vol-2954/paper-29.pdf
Parsa, M. S., & Golab, L. (2021). Academic Integrity in Online Education During the COVID-19 Pandemic: A Social Media Mining Study Presented at the Academic Integrity in Online Education During the COVID-19 Pandemic: A Social Media Mining Study conference.
2020
Kassaie, B., & Tompa, F. (2020). A Framework for Extracted View Maintenance Presented at the A Framework for Extracted View Maintenance conference. https://doi.org/10.1145/3395027.3419592