Search Results for author: Bhargav Kanagal

Found 6 papers, 2 papers with code

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

1 code implementation16 Dec 2021 Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal

Attribute value extraction refers to the task of identifying values of an attribute of interest from product information.

Attribute Attribute Extraction +2

ShopTalk: A System for Conversational Faceted Search

no code implementations2 Sep 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

The dialog understanding system consists of a deep-learned Contextual Language Understanding module, which interprets user utterances, and a primarily rules-based Dialog-State Tracker (DST), which updates the dialog state and formulates search requests intended for the fulfillment engine.

Management slot-filling +1

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

no code implementations EACL 2021 Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein

This enables a new class of powerful, high-capacity representations that can ultimately distill much of the useful information about an entity from multiple text sources, without any human supervision.

Knowledge Base Completion Natural Language Queries +4

A Generic Coordinate Descent Framework for Learning from Implicit Feedback

no code implementations15 Nov 2016 Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle

A diversity of complex models has been proposed for a wide variety of applications.

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