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Kai Hui
Kai Hui
Software Engineer, Google Research
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Pacrr: A position-aware neural ir model for relevance matching
K Hui, A Yates, K Berberich, G de Melo
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
154*2017
Co-PACRR: A context-aware neural IR model for ad-hoc retrieval
K Hui, A Yates, K Berberich, G De Melo
Proceedings of the eleventh ACM international conference on web search and …, 2018
1122018
TDNN: a two-stage deep neural network for prompt-independent automated essay scoring
C Jin, B He, K Hui, L Sun
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
672018
Ext5: Towards extreme multi-task scaling for transfer learning
V Aribandi, Y Tay, T Schuster, J Rao, HS Zheng, SV Mehta, H Zhuang, ...
arXiv preprint arXiv:2111.10952, 2021
552021
NPRF: A neural pseudo relevance feedback framework for ad-hoc information retrieval
C Li, Y Sun, B He, L Wang, K Hui, A Yates, L Sun, J Xu
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
512018
BERT-QE: contextualized query expansion for document re-ranking
Z Zheng, K Hui, B He, X Han, L Sun, A Yates
arXiv preprint arXiv:2009.07258, 2020
392020
Content-Based Weak Supervision for Ad-Hoc Re-Ranking
S MacAvaney, A Yates, K Hui, O Frieder
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
352019
Transformer memory as a differentiable search index
Y Tay, VQ Tran, M Dehghani, J Ni, D Bahri, H Mehta, Z Qin, K Hui, Z Zhao, ...
arXiv preprint arXiv:2202.06991, 2022
292022
Simplified tinybert: Knowledge distillation for document retrieval
X Chen, B He, K Hui, L Sun, Y Sun
European Conference on Information Retrieval, 241-248, 2021
202021
An approach for weakly-supervised deep information retrieval
S MacAvaney, K Hui, A Yates
The Second SIGIR Workshop on Neural Information Retrieval (Neu-IR'17), 2017
162017
Characterizing question facets for complex answer retrieval
S MacAvaney, A Yates, A Cohan, L Soldaini, K Hui, N Goharian, O Frieder
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
152018
A comparative study of pseudo relevance feedback for ad-hoc retrieval
K Hui, B He, T Luo, B Wang
Conference on the Theory of Information Retrieval, 318-322, 2011
132011
Position-aware representations for relevance matching in neural information retrieval
K Hui, A Yates, K Berberich, G De Melo
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
112017
Transitivity, time consumption, and quality of preference judgments in crowdsourcing
K Hui, K Berberich
European Conference on Information Retrieval, 239-251, 2017
102017
Overcoming low-utility facets for complex answer retrieval
S MacAvaney, A Yates, A Cohan, L Soldaini, K Hui, N Goharian, O Frieder
Information Retrieval Journal 22 (3), 395-418, 2019
82019
A document-based neural relevance model for effective clinical decision support
Y Ran, B He, K Hui, J Xu, L Sun
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
82017
Low-cost preference judgment via ties
K Hui, K Berberich
European Conference on Information Retrieval, 626-632, 2017
82017
Sponsored search ad selection by keyword structure analysis
K Hui, B Gao, B He, T Luo
European Conference on Information Retrieval, 230-241, 2013
82013
Incorporating Ranking Context for End-to-End BERT Re-ranking
X Chen, K Hui, B He, X Han, L Sun, Z Ye
European Conference on Information Retrieval, 111-127, 2022
7*2022
Contextualized PACRR for Complex Answer Retrieval.
S MacAvaney, A Yates, K Hui
TREC, 2017
72017
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Articles 1–20