Search Results for author: Jade Huang

Found 3 papers, 1 papers with code

Contextual Bandit Applications in Customer Support Bot

no code implementations6 Dec 2021 Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen

We do, however, have access to partial feedback provided by the user (clicks, surveys, and other events) which can be leveraged to improve the user experience.

Multi-Armed Bandits

Example-Based Named Entity Recognition

1 code implementation24 Aug 2020 Morteza Ziyadi, Yuting Sun, Abhishek Goswami, Jade Huang, Weizhu Chen

We present a novel approach to named entity recognition (NER) in the presence of scarce data that we call example-based NER.

Few-Shot Learning named-entity-recognition +3

Lessons from Contextual Bandit Learning in a Customer Support Bot

no code implementations6 May 2019 Nikos Karampatziakis, Sebastian Kochman, Jade Huang, Paul Mineiro, Kathy Osborne, Weizhu Chen

In this work, we describe practical lessons we have learned from successfully using contextual bandits (CBs) to improve key business metrics of the Microsoft Virtual Agent for customer support.

Information Retrieval Multi-Armed Bandits +2

Cannot find the paper you are looking for? You can Submit a new open access paper.