2017

Neural Models for Information Retrieval

Mitra, Bhaskar, Craswell, Nick

Understand

Neural ranking models for information retrieval (IR) use shallow or deep neural networks to rank search results in response to a query.

Traditional learning to rank models employ machine learning techniques over hand-crafted IR features.
By contrast, neural models learn representations of language from raw text that can bridge the gap between query and document vocabulary.
Unlike classical IR models, these new machine learning based approaches are data-hungry, requiring large scale training data before they can be deployed.

Built on

Distributional structure
Zellig S Harris. 1954 · 1954
Earlier work this paper cites.
A synopsis of linguistic theory, 1930-1955
John R Firth. 1957 · 1957
Earlier work this paper cites.
Singular value decomposition and least squares solutions
Gene H Golub and Christian Reinsch. 1970 · 1970
Earlier work this paper cites.
Elements of semiology
Roland Barthes. 1977 · 1977
Earlier work this paper cites.
Distributed representations
Geoffrey E Hinton. 1984 · 1984
Earlier work this paper cites.
Theory of the backpropagation neural network
Robert Hecht-Nielsen and others. 1988 · 1988
Earlier work this paper cites.
Multilayer feedforward networks are universal approximators
Kurt Hornik, Maxwell Stinchcombe, and Halbert White. 1989 · 1989
Earlier work this paper cites.
A statistical approach to machine translation
Peter F Brown, John Cocke, Stephen A Della Pietra, Vincent J Della Pietra, Fredrick Jelinek, John D Lafferty, Robert L Mercer, and Paul S Roossin. 1990 · 1990
Earlier work this paper cites.
Indexing by latent semantic analysis
Scott C. Deerwester, Susan T Dumais, Thomas K. Landauer, George W. Furnas, and Richard A. Harshman. 1990 · 1990
Earlier work this paper cites.
Finding structure in time
Jeffrey L Elman. 1990 · 1990
Earlier work this paper cites.
Neural networks for fingerprint recognition
Pierre Baldi and Yves Chauvin. 1993 · 1993
Earlier work this paper cites.
Signature Verification Using A "Siamese" Time Delay Neural Network
Jane Bromley, James W. Bentz, Léon Bottou, Isabelle Guyon, Yann LeCun, Cliff Moore, Eduard Säckinger, and Roopak Shah. 1993 · 1993
Earlier work this paper cites.
The mathematics of statistical machine translation: Parameter estimation
Peter F Brown, Vincent J Della Pietra, Stephen A Della Pietra, and Robert L Mercer. 1993 · 1993
Earlier work this paper cites.
Semiotics for beginners
Daniel Chandler. 1994 · 1994
Earlier work this paper cites.
Learning task-dependent distributed representations by backpropagation through structure. In Neural Networks, 1996., IEEE International Conference on
Christoph Goller and Andreas Kuchler. 1996 · 1996
Earlier work this paper cites.
Producing high-dimensional semantic spaces from lexical co-occurrence
Kevin Lund and Curt Burgess. 1996 · 1996
Earlier work this paper cites.
Pivoted document length normalization. In Proc. SIGIR
Amit Singhal, Chris Buckley, and Mandar Mitra. 1996 · 1996
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
A language modeling approach to information retrieval. In Proc. SIGIR
Jay M Ponte and W Bruce Croft. 1998 · 1998
Earlier work this paper cites.
A metric for distributions with applications to image databases. In Computer Vision, 1998. Sixth International Conference on
Yossi Rubner, Carlo Tomasi, and Leonidas J Guibas. 1998 · 1998
Earlier work this paper cites.
Information retrieval as statistical translation. In Proc. SIGIR
Adam Berger and John Lafferty. 1999 · 1999
Earlier work this paper cites.
Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit
Richard HR Hahnloser, Rahul Sarpeshkar, Misha A Mahowald, Rodney J Douglas, and H Sebastian Seung. 2000 · 2000
Earlier work this paper cites.
The information bottleneck method
Naftali Tishby, Fernando C Pereira, and William Bialek. 2000 · 2000
Earlier work this paper cites.
Overview of the eighth text retrieval conference (TREC-8)
Ellen M Voorhees and Donna Harman. 2000 · 2000
Earlier work this paper cites.
Building a question answering test collection. In Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Ellen M Voorhees and Dawn M Tice. 2000 · 2000
Earlier work this paper cites.
Saussure and his Interpreters
Roy Harris. 2001 · 2001
Earlier work this paper cites.
Using language models for information retrieval
Djoerd Hiemstra. 2001 · 2001
Earlier work this paper cites.
Document language models, query models, and risk minimization for information retrieval. In Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
John Lafferty and Chengxiang Zhai. 2001 · 2001
Earlier work this paper cites.
Relevance based language models. In Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Victor Lavrenko and W Bruce Croft. 2001 · 2001
Earlier work this paper cites.
A study of smoothing methods for language models applied to ad hoc information retrieval. In Proc. SIGIR
Chengxiang Zhai and John Lafferty. 2001 · 2001
Earlier work this paper cites.
Overview of the TREC 2002 Web track. In TREC
Nick Craswell, David Hawking, Ross Wilkinson, and Mingfang Wu. 2003 · 2002
Earlier work this paper cites.
Cumulated gain-based evaluation of IR techniques
Kalervo Järvelin and Jaana Kekäläinen. 2002 · 2002
Earlier work this paper cites.
Locality in search engine queries and its implications for caching. In INFOCOM 2002. Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE
Yinglian Xie and David O’Hallaron. 2002 · 2002
Earlier work this paper cites.
Engineering a multi-purpose test collection for web retrieval experiments
Peter Bailey, Nick Craswell, and David Hawking. 2003 · 2003
Earlier work this paper cites.
A neural probabilistic language model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin. 2003 · 2003
Earlier work this paper cites.
UMass at TREC 2004: Novelty and HARD
Nasreen Abdul-Jaleel, James Allan, W Bruce Croft, Fernando Diaz, Leah Larkey, Xiaoyan Li, Mark D Smucker, and Courtney Wade. 2004 · 2004
Earlier work this paper cites.
Eye-tracking analysis of user behavior in WWW search. In Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Laura A Granka, Thorsten Joachims, and Geri Gay. 2004 · 2004
Earlier work this paper cites.
Learning methods for generic object recognition with invariance to pose and lighting. In Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
Yann LeCun, Fu Jie Huang, and Leon Bottou. 2004 · 2004
Earlier work this paper cites.
Microsoft Cambridge at TREC 13: Web and Hard Tracks.. In TREC
Hugo Zaragoza, Nick Craswell, Michael J Taylor, Suchi Saria, and Stephen E Robertson. 2004 · 2004
Earlier work this paper cites.
Recall, precision and average precision
Mu Zhu. 2004 · 2004
Earlier work this paper cites.
Learning to rank using gradient descent. In Proceedings of the 22nd international conference on Machine learning
Chris Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, and Greg Hullender. 2005 · 2005
Earlier work this paper cites.
Accurately interpreting clickthrough data as implicit feedback. In Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, and Geri Gay. 2005 · 2005
Earlier work this paper cites.
A Markov random field model for term dependencies. In Proc. SIGIR
Donald Metzler and W Bruce Croft. 2005 · 2005
Earlier work this paper cites.
Hierarchical Probabilistic Neural Network Language Model.. In Aistats
Frederic Morin and Yoshua Bengio. 2005 · 2005
Earlier work this paper cites.
Indri: A language model-based search engine for complex queries. In Proceedings of the International Conference on Intelligent Analysis
Trevor Strohman, Donald Metzler, Howard Turtle, and W Bruce Croft. 2005 · 2005
Earlier work this paper cites.
TREC: Experiment and evaluation in information retrieval
Ellen M Voorhees, Donna K Harman, and others. 2005 · 2005
Earlier work this paper cites.
The earth mover’s distance as a semantic measure for document similarity. In Proceedings of the 14th ACM international conference on Information and knowledge management
Xiaojun Wan and Yuxin Peng. 2005 · 2005
Earlier work this paper cites.
Learning to rank with nonsmooth cost functions. In NIPS
Christopher JC Burges, Robert Ragno, and Quoc Viet Le. 2006 · 2006
Earlier work this paper cites.
High accuracy retrieval with multiple nested ranker. In Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Irina Matveeva, Chris Burges, Timo Burkard, Andy Laucius, and Leon Wong. 2006 · 2006
Earlier work this paper cites.
A picture of search. In Proc. InfoScale
Greg Pass, Abdur Chowdhury, and Cayley Torgeson. 2006 · 2006
Earlier work this paper cites.
Efficient learning of sparse representations with an energy-based model. In Proceedings of the 19th International Conference on Neural Information Processing Systems
Marc’Aurelio Ranzato, Christopher Poultney, Sumit Chopra, and Yann LeCun. 2006 · 2006
Earlier work this paper cites.
An improved model of semantic similarity based on lexical co-occurrence
Douglas LT Rohde, Laura M Gonnerman, and David C Plaut. 2006 · 2006
Earlier work this paper cites.
The Word-Space Model: Using distributional analysis to represent syntagmatic and paradigmatic relations between words in high-dimensional vector spaces
Magnus Sahlgren. 2006 · 2006
Earlier work this paper cites.
Optimisation methods for ranking functions with multiple parameters. In Proceedings of the 15th ACM international conference on Information and knowledge management
Michael Taylor, Hugo Zaragoza, Nick Craswell, Stephen Robertson, and Chris Burges. 2006 · 2006
Earlier work this paper cites.
Greedy layer-wise training of deep networks
Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle, and others. 2007 · 2007
Earlier work this paper cites.
Extracting semantic representations from word co-occurrence statistics: A computational study
John A Bullinaria and Joseph P Levy. 2007 · 2007
Earlier work this paper cites.
An eye tracking study of the effect of target rank on web search. In Proceedings of the SIGCHI conference on Human factors in computing systems
Zhiwei Guan and Edward Cutrell. 2007 · 2007
Earlier work this paper cites.
Evaluating the accuracy of implicit feedback from clicks and query reformulations in web search
Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, and Geri Gay. 2007 · 2007
Earlier work this paper cites.
Letor: Benchmark dataset for research on learning to rank for information retrieval. In Proceedings of SIGIR 2007 workshop on learning to rank for information retrieval
Tie-Yan Liu, Jun Xu, Tao Qin, Wenying Xiong, and Hang Li. 2007 · 2007
Earlier work this paper cites.
Similarity measures for short segments of text. In European Conference on Information Retrieval
Donald Metzler, Susan Dumais, and Christopher Meek. 2007 · 2007
Earlier work this paper cites.
A novel document similarity measure based on earth mover’s distance
Xiaojun Wan. 2007 · 2007
Earlier work this paper cites.
A generative theory of relevance
Victor Lavrenko. 2008 · 2008
Earlier work this paper cites.
Visualizing data using t-SNE
Laurens van der Maaten and Geoffrey Hinton. 2008 · 2008
Earlier work this paper cites.
Learning deep architectures for AI
Yoshua Bengio and others. 2009 · 2009
Earlier work this paper cites.
Clueweb09 data set
Jamie Callan, Mark Hoy, Changkuk Yoo, and Le Zhao. 2009 · 2009
Earlier work this paper cites.
Mean reciprocal rank
Nick Craswell. 2009 · 2009
Earlier work this paper cites.
Proceedings of the 2009 workshop on Web Search Click Data
Nick Craswell, Rosie Jones, Georges Dupret, and Evelyne Viegas. 2009 · 2009
Earlier work this paper cites.
A novel connectionist system for unconstrained handwriting recognition
Alex Graves, Marcus Liwicki, Santiago Fernández, Roman Bertolami, Horst Bunke, and Jürgen Schmidhuber. 2009 · 2009
Earlier work this paper cites.
What is the best multi-stage architecture for object recognition?. In Computer Vision, 2009 IEEE 12th International Conference on
Kevin Jarrett, Koray Kavukcuoglu, Yann LeCun, and others. 2009 · 2009
Earlier work this paper cites.
Learning to Rank for Information Retrieval
Tie-Yan Liu. 2009 · 2009
Earlier work this paper cites.
The probabilistic relevance framework: BM25 and beyond
Stephen Robertson, Hugo Zaragoza, and others. 2009 · 2009
Earlier work this paper cites.
Semantic hashing
Ruslan Salakhutdinov and Geoffrey Hinton. 2009 · 2009
Earlier work this paper cites.

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Cited alongside, same era.
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Vinod Nair and Geoffrey E Hinton. 2010 · 2010
Cited alongside, same era.
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Peter D Turney and Patrick Pantel. 2010 · 2010
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Then

Multimodal convolutional neural networks for matching image and sentence. In Proceedings of the IEEE International Conference on Computer Vision
Lin Ma, Zhengdong Lu, Lifeng Shang, and Hang Li. 2015 · 2015
Later among the works it cites.
Exploring Session Context using Distributed Representations of Queries and Reformulations. In Proc. SIGIR
Bhaskar Mitra. 2015 · 2015
Later among the works it cites.
Query Auto-Completion for Rare Prefixes. In Proc. CIKM
Bhaskar Mitra and Nick Craswell. 2015 · 2015
Later among the works it cites.
Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, and others. 2015 · 2015
Later among the works it cites.
Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval
Original
Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, and Rabab Ward. 2015 · 2015
Later among the works it cites.
Sequence level training with recurrent neural networks
Original
Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba. 2015 · 2015
Later among the works it cites.
Deep learning in neural networks: An overview
Jürgen Schmidhuber. 2015 · 2015
Later among the works it cites.
Learning to rank short text pairs with convolutional deep neural networks. In Proc. SIGIR
Aliaksei Severyn and Alessandro Moschitti. 2015 · 2015
Later among the works it cites.
A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion
Original
Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi, Christina Lioma, Jakob G Simonsen, and Jian-Yun Nie. 2015a · 2015
Later among the works it cites.
A neural network approach to context-sensitive generation of conversational responses
Original
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, and Bill Dolan. 2015b · 2015
Later among the works it cites.
End-to-end memory networks. In Proc. NIPS
Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, and others. 2015 · 2015
Later among the works it cites.
Learning word representations by jointly modeling syntagmatic and paradigmatic relations. In Proc. ACL
Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng. 2015 · 2015
Later among the works it cites.
Going deeper with convolutions. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. 2015 · 2015
Later among the works it cites.
Improved semantic representations from tree-structured long short-term memory networks
Original
Kai Sheng Tai, Richard Socher, and Christopher D Manning. 2015 · 2015
Later among the works it cites.
Chainer: a next-generation open source framework for deep learning. In Proceedings of workshop on machine learning systems (LearningSys) in the twenty-ninth annual conference on neural information processing systems (NIPS)
Seiya Tokui, Kenta Oono, Shohei Hido, and Justin Clayton. 2015 · 2015
Later among the works it cites.
A neural conversational model
Original
Oriol Vinyals and Quoc Le. 2015 · 2015
Later among the works it cites.
Monolingual and cross-lingual information retrieval models based on (bilingual) word embeddings. In Proc. SIGIR
Ivan Vulić and Marie-Francine Moens. 2015 · 2015
Later among the works it cites.
A deep architecture for semantic matching with multiple positional sentence representations
Original
Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, and Xueqi Cheng. 2015 · 2015
Later among the works it cites.
Towards ai-complete question answering: A set of prerequisite toy tasks
Original
Jason Weston, Antoine Bordes, Sumit Chopra, Alexander M Rush, Bart van Merriënboer, Armand Joulin, and Tomas Mikolov. 2015 · 2015
Later among the works it cites.
Abcnn: Attention-based convolutional neural network for modeling sentence pairs
Original
Wenpeng Yin, Hinrich Schütze, Bing Xiang, and Bowen Zhou. 2015 · 2015
Later among the works it cites.
Self-Adaptive Hierarchical Sentence Model
Original
Han Zhao, Zhengdong Lu, and Pascal Poupart. 2015 · 2015
Later among the works it cites.
Learning to Reweight Terms with Distributed Representations. In Proc. SIGIR
Guoqing Zheng and Jamie Callan. 2015 · 2015
Later among the works it cites.
Integrating and evaluating neural word embeddings in information retrieval. In Proceedings of the 20th Australasian Document Computing Symposium
Guido Zuccon, Bevan Koopman, Peter Bruza, and Leif Azzopardi. 2015 · 2015
Later among the works it cites.
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Original
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, and others. 2016 · 2016
Later among the works it cites.
Theano: A Python framework for fast computation of mathematical expressions
Original
Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, and others. 2016 · 2016
Later among the works it cites.
A neural click model for web search. In Proc. WWW
Alexey Borisov, Ilya Markov, Maarten de Rijke, and Pavel Serdyukov. 2016 · 2016
Later among the works it cites.
A fast unified model for parsing and sentence understanding
Original
Samuel R Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D Manning, and Christopher Potts. 2016 · 2016
Later among the works it cites.
Adaptability of neural networks on varying granularity ir tasks
Original
Daniel Cohen, Qingyao Ai, and W Bruce Croft. 2016 · 2016
Later among the works it cites.
End to End Long Short Term Memory Networks for Non-Factoid Question Answering. In Proc. ICTIR
Daniel Cohen and W Bruce Croft. 2016 · 2016
Later among the works it cites.
Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval
Nick Craswell, W Bruce Croft, Jiafeng Guo, Bhaskar Mitra, and Maarten de Rijke. 2016a · 2016
Later among the works it cites.
Report on the SIGIR 2016 Workshop on Neural Information Retrieval (Neu-IR)
Nick Craswell, W Bruce Croft, Jiafeng Guo, Bhaskar Mitra, and Maarten de Rijke. 2016b · 2016
Later among the works it cites.
Query Expansion with Locally-Trained Word Embeddings. In Proc. ACL
Fernando Diaz, Bhaskar Mitra, and Nick Craswell. 2016 · 2016
Later among the works it cites.
Deep learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2016 · 2016
Later among the works it cites.
Deep residual learning for image recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Later among the works it cites.
Supervised Word Mover’s Distance. In Proc. NIPS
Gao Huang, Chuan Guo, Matt J Kusner, Yu Sun, Fei Sha, and Kilian Q Weinberger. 2016 · 2016
Later among the works it cites.
Exploring the limits of language modeling
Original
Rafal Jozefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, and Yonghui Wu. 2016 · 2016
Later among the works it cites.
Siamese cbow: Optimizing word embeddings for sentence representations
Original
Tom Kenter, Alexey Borisov, and Maarten de Rijke. 2016 · 2016
Later among the works it cites.
Fractalnet: Ultra-deep neural networks without residuals
Original
Gustav Larsson, Michael Maire, and Gregory Shakhnarovich. 2016 · 2016
Later among the works it cites.
How NOT to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
Original
Chia-Wei Liu, Ryan Lowe, Iulian V Serban, Michael Noseworthy, Laurent Charlin, and Joelle Pineau. 2016 · 2016
Later among the works it cites.
Understanding Human Language: Can NLP and Deep Learning Help?. In Proc. SIGIR
Christopher Manning. 2016 · 2016
Later among the works it cites.
A Dual Embedding Space Model for Document Ranking
Original
Bhaskar Mitra, Eric Nalisnick, Nick Craswell, and Rich Caruana. 2016 · 2016
Later among the works it cites.
A Proposal for Evaluating Answer Distillation from Web Data. In Proceedings of the SIGIR 2016 WebQA Workshop
Bhaskar Mitra, Grady Simon, Jianfeng Gao, Nick Craswell, and Li Deng. 2016 · 2016
Later among the works it cites.
Improving Document Ranking with Dual Word Embeddings. In Proc. WWW
Eric Nalisnick, Bhaskar Mitra, Nick Craswell, and Rich Caruana. 2016 · 2016
Later among the works it cites.
Toward a deep neural approach for knowledge-based ir
Original
Gia-Hung Nguyen, Lynda Tamine, Laure Soulier, and Nathalie Bricon-Souf. 2016b · 2016
Later among the works it cites.
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Original
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016a · 2016
Later among the works it cites.
A study of matchpyramid models on ad-hoc retrieval
Original
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, and Xueqi Cheng. 2016a · 2016
Later among the works it cites.
Squad: 100,000+ questions for machine comprehension of text
Original
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Later among the works it cites.
Using Word Embeddings for Automatic Query Expansion
Original
Dwaipayan Roy, Debjyoti Paul, Mandar Mitra, and Utpal Garain. 2016 · 2016
Later among the works it cites.
Benchmarking State-of-the-Art Deep Learning Software Tools
Original
Shaohuai Shi, Qiang Wang, Pengfei Xu, and Xiaowen Chu. 2016 · 2016
Later among the works it cites.
Mastering the game of Go with deep neural networks and tree search
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, and others. 2016 · 2016
Later among the works it cites.
Semantic Regularities in Document Representations
Original
Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng. 2016a · 2016
Later among the works it cites.
Learning latent vector spaces for product search. In Proc. CIKM
Christophe Van Gysel, Maarten de Rijke, and Evangelos Kanoulas. 2016 · 2016
Later among the works it cites.
Matching networks for one shot learning. In Proc. NIPS
Oriol Vinyals, Charles Blundell, Tim Lillicrap, Daan Wierstra, and others. 2016 · 2016
Later among the works it cites.
Match-srnn: Modeling the recursive matching structure with spatial rnn
Original
Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, and Xueqi Cheng. 2016 · 2016
Later among the works it cites.
Modeling Document Novelty with Neural Tensor Network for Search Result Diversification. In Proc. SIGIR
Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng. 2016 · 2016
Later among the works it cites.
Learning to respond with deep neural networks for retrieval-based human-computer conversation system. In Proc. SIGIR
Rui Yan, Yiping Song, and Hua Wu. 2016 · 2016
Later among the works it cites.
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
Liu Yang, Qingyao Ai, Jiafeng Guo, and W Bruce Croft. 2016 · 2016
Later among the works it cites.
Learning to compose words into sentences with reinforcement learning
Original
Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, and Wang Ling. 2016 · 2016
Later among the works it cites.
Seqgan: sequence generative adversarial nets with policy gradient
Original
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu. 2016 · 2016
Later among the works it cites.
Understanding deep learning requires rethinking generalization
Original
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, and Oriol Vinyals. 2016 · 2016
Later among the works it cites.
Multi-view response selection for human-computer conversation
Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, R Yan, D Yu, Xuan Liu, and H Tian. 2016 · 2016
Later among the works it cites.
Neural Models for Full Text Search. In Proceedings of the Tenth ACM International Conference on Web Search and Data Mining
Nick Craswell. 2017 · 2017
Closest in time.
Neu-IR’17: Neural Information Retrieval. In Proc. SIGIR
Nick Craswell, W Bruce Croft, Maarten de Rijke, Jiafeng Guo, and Bhaskar Mitra. 2017 · 2017
Closest in time.
A Knowledge-Grounded Neural Conversation Model
Original
Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, and Michel Galley. 2017 · 2017
Closest in time.
Neural Networks for Information Retrieval (NN4IR). In Proc. SIGIR
Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, and Bhaskar Mitra. 2017 · 2017
Closest in time.
Neural Text Embeddings for Information Retrieval. In Proc. WSDM
Bhaskar Mitra and Nick Craswell. 2017 · 2017
Closest in time.
DyNet: The Dynamic Neural Network Toolkit
Original
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, and others. 2017 · 2017
Closest in time.
Pyndri: a Python Interface to the Indri Search Engine
Original
Christophe Van Gysel, Evangelos Kanoulas, and Maarten de Rijke. 2017 · 2017
Closest in time.
WikiQA: A Challenge Dataset for Open-Domain Question Answering.. In EMNLP
Yi Yang, Wen-tau Yih, and Christopher Meek. 2015 · 2018
Closest in time.
Convolutional neural network architectures for matching natural language sentences. In Proc. NIPS
Baotian Hu, Zhengdong Lu, Hang Li, and Qingcai Chen. 2014 · 2050
Closest in time.
Show, attend and tell: Neural image caption generation with visual attention. In International Conference on Machine Learning
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015 · 2057
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