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MAVE: A Product Dataset for Multi-source Attribute Value Extraction


Dec 16, 2021
Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal

* 10 pages, 7 figures. Accepted to WSDM 2022. Dataset available at https://github.com/google-research-datasets/MAVE 

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ShopTalk: A System for Conversational Faceted Search


Sep 02, 2021
Gurmeet Manku, James Lee-Thorp, Bhargav Kanagal, Joshua Ainslie, Jingchen Feng, Zach Pearson, Ebenezer Anjorin, Sudeep Gandhe, Ilya Eckstein, Jim Rosswog, Sumit Sanghai, Michael Pohl, Larry Adams, D. Sivakumar


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DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections


Feb 26, 2021
Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein

* To appear in the proceedings of EACL 2021 

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RealFormer: Transformer Likes Residual Attention


Dec 23, 2020
Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie

* 13 pages, 8 figures 

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Informer: Transformer Likes Informed Attention


Dec 21, 2020
Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie

* 13 pages, 8 figures 

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A Generic Coordinate Descent Framework for Learning from Implicit Feedback


Nov 15, 2016
Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle


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