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Avishek Anand
interpretability
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Apr 03, 2018
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@@ -135,3 +135,27 @@ We release [InterpretMe]
1.
**Training deep ranking model with weak relevance labels**
*C Luo, Y Zheng, J Mao, Y Liu, M Zhang.*
. ASDB 2018.
[
paper
](
http://www.thuir.cn/group/~chengluo/publications/ADC2017.pdf
)
1.
**DSSM : Learning Deep Structured Semantic Models for Web Search using Clickthrough Data**
*PS Huang, X He, J Gao, L Deng, A Acero, L Heck.*
CIKM 2013.
[
paper
](
http://www.ifp.illinois.edu/~huang146/papers/cikm2013_DSSM_fullversion.pdf
)
1.
**Neural ranking models with weak supervision**
*M Dehghani, H Zamani, A Severyn, J Kamps*
. SIGIR 2017.
[
paper
](
https://arxiv.org/pdf/1704.08803.pdf
)
1.
**A deep relevance matching model for ad-hoc retrieval**
*J Guo, Y Fan, Q Ai, WB Croft*
. CIKM 2016.
[
paper
](
https://arxiv.org/pdf/1711.08611.pdf
)
1.
**DUET: Learning to Match Using Local and Distributed Representations of Text for Web Search**
*Bhaskar Mitra, Fernando Diaz, Nick Craswell*
. WWW 2017.
[
paper
](
https://arxiv.org/pdf/1610.08136.pdf
)
1.
**A Study of MatchPyramid Models on Ad-hoc Retrieval**
*Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng*
. Neu-IR 16.
[
paper
](
Liang
Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng)
1.
**Match-Tensor: a Deep Relevance Model for Search**
*A Jaech, H Kamisetty, E Ringger, C Clarke*
. 2017.
[
paper
](
https://arxiv.org/pdf/1701.07795.pdf
)
1.
**End-to-end neural ad-hoc ranking with kernel pooling**
*C Xiong, Z Dai, J Callan, Z Liu, R Power*
. SIGIR 2017.
[
paper
](
https://arxiv.org/pdf/1706.06613.pdf
)
1.
**Neural Models for Information Retrieval**
*Bhaskar Mitra, Nick Craswell*
. Survey 2017.
[
paper
](
https://arxiv.org/pdf/1705.01509.pdf
)
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