11 citations · 32 across the 6 of their papers we have counts for
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cs.IR2019
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval
Liang Pang, Jun Xu, Qingyao Ai +3
In learning-to-rank for information retrieval, a ranking model is automatically learned from the data and then utilized to rank the sets of retrieved documents. Therefore, an ideal…
cs.CL2019
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile
Hainan Zhang, Yanyan Lan, Jiafeng Guo +2
Chinese input recommendation plays an important role in alleviating human cost in typing Chinese words, especially in the scenario of mobile applications. The fundamental problem i…
cs.CL2019★ 6 cited
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering
Liang Pang, Yanyan Lan, Jiafeng Guo +3
This paper is concerned with open-domain question answering (i.e., OpenQA). Recently, some works have viewed this problem as a reading comprehension (RC) task, and directly applied…