Kai Hui
Kai Hui
Machine Learning Scientist, Amazon Alexa AI Search
Bekræftet mail på amazon.com - Startside
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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
102*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
782018
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
292018
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
292018
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
232019
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
122018
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
112011
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
102017
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
92017
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
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
72019
Transitivity, time consumption, and quality of preference judgments in crowdsourcing
K Hui, K Berberich
European Conference on Information Retrieval, 239-251, 2017
72017
Contextualized PACRR for Complex Answer Retrieval.
S MacAvaney, A Yates, K Hui
TREC, 2017
72017
Sponsored search ad selection by keyword structure analysis
K Hui, B Gao, B He, T Luo
European Conference on Information Retrieval, 230-241, 2013
72013
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
62020
Simplified TinyBERT: Knowledge Distillation for Document Retrieval
X Chen, B He, K Hui, L Sun, Y Sun
arXiv preprint arXiv:2009.07531, 2020
52020
Selective labeling and incomplete label mitigation for low-cost evaluation
K Hui, K Berberich
International Symposium on String Processing and Information Retrieval, 137-148, 2015
52015
Relevance weighting using within-document term statistics
K Hui, B He, T Luo, B Wang
Proceedings of the 20th ACM international conference on Information and …, 2011
52011
Low-cost preference judgment via ties
K Hui, K Berberich
European Conference on Information Retrieval, 626-632, 2017
42017
Neural relevance model using similarities with elite documents for effective clinical decision support
Y Ran, B He, K Hui, J Xu, L Sun
International Journal of Data Mining and Bioinformatics 20 (2), 91-108, 2018
22018
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Artikler 1–20