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Although considerable attention has been given to neural ranking architectures recently, far less attention has been paid to the term representations that are used as input to these models.
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Parameters learned in the comparison of retrieval models using term dependencies
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Entity Came to Rescue - Leveraging Entities to Minimize Risks in Web Search. In TREC
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End-to-End Neural Ad-hoc Ranking with Kernel Pooling. In SIGIR
Chenyan Xiong, Zhuyun Dai, James P. Callan, Zhiyuan Liu, and Russell Power. 2017 · 2017
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Anserini: Enabling the Use of Lucene for Information Retrieval Research. In SIGIR
Peilin Yang, Hui Fang, and Jimmy Lin. 2017 · 2017
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Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. In WSDM
Zhuyun Dai, Chenyan Xiong, James P. Callan, and Zhiyuan Liu. 2018 · 2018
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SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval. In SIGIR
Hamed Zamani, Mostafa Dehghani, Fernando Diaz, Hang Li, and Nick Craswell. 2018 · 2018
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Rodrigo Nogueira and Kyunghyun Cho. 2019 · 2019
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Wei Yang, Yuqing Xie, Aileen Lin, Xingyu Li, Luchen Tan, Kun Xiong, Ming Li, and Jimmy Lin. 2019 · 2019
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