Quantcast
Channel: Natural Language Processing – Uber Engineering Blog
Browsing all 13 articles
Browse latest View live

Engineering More Reliable Transportation with Machine Learning and AI at Uber

In recent months, Uber Engineering has shared how we use machine learning (ML), artificial intelligence (AI), and advanced technologies to create more seamless and reliable experiences for our users....

View Article



COTA: Improving Uber Customer Care with NLP & Machine Learning

To facilitate the best end-to-end experience possible for users, Uber is committed to making customer support easier and more accessible. Working toward this goal, Uber’s Customer Obsession team...

View Article

Introducing the Uber AI Residency

Uber AI Labs and Uber ATG Toronto are excited to announce the Uber AI Residency, an intensive one-year research training program slated to begin this summer.   Uber has invested substantially in...

View Article

Food Discovery with Uber Eats: Building a Query Understanding Engine

Choice is fundamental to the Uber Eats experience. At any given location, there could be thousands of restaurants and even more individual menu items for an eater to choose from. Many factors can...

View Article

Scaling Uber’s Customer Support Ticket Assistant (COTA) System with Deep...

Earlier this year, we introduced Uber’s Customer Obsession Ticket Assistant (COTA) system, a tool that leverages machine learning and natural language processing (NLP) techniques to recommend support...

View Article


Improving Driver Communication through One-Click Chat, Uber’s Smart Reply System

Imagine standing curbside, waiting for your Uber ride to arrive. On your app, you see that the car is barely moving. You send them a message to find out what’s going on. Unbeknownst to you, your...

View Article

Applying Customer Feedback: How NLP & Deep Learning Improve Uber’s Maps

High quality map data powers many aspects of the Uber trip experience. Services such as Search, Routing, and Estimated Time of Arrival (ETA) prediction rely on accurate map data to provide a safe,...

View Article

Announcing the 2019 Uber AI Residency

By Theofanis Karaletsos, Ersin Yumer, Raquel Urtasun, and Zoubin Ghahramani on behalf of Uber AI Labs and Uber ATG Connecting the digital and physical worlds safely and reliably on the Uber platform...

View Article


First Uber Science Symposium: Discussing the Next Generation of RL, NLP,...

At Uber, hundreds of data scientists, economists, AI researchers and engineers, product analysts, behavioral scientists, and other practitioners leverage scientific methods to solve challenges on our...

View Article


Improving the User Experience with Uber’s Customer Obsession Ticket Routing...

Every day, Uber users around the world initiate customer support tickets through our Customer Obsession Platform. To ensure a seamless user experience, each of those tickets must be matched with an...

View Article

Introducing the Uber Research Publications Site

Zoubin Ghahramani is Uber’s Chief Scientist and the Head of AI. The ease and simplicity of Uber’s platform is built on fundamental advances in science and technology. Teams across Uber are committed to...

View Article

Introducing the Plato Research Dialogue System: A Flexible Conversational AI...

Intelligent conversational agents have evolved significantly over the past few decades, from keyword-spotting interactive voice response (IVR) systems to the cross-platform intelligent personal...

View Article

Controlling Text Generation with Plug and Play Language Models

This article is based on the paper “Plug and Play Language Models: A Simple Approach To Controlled Text Generation” by Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero...

View Article

Browsing all 13 articles
Browse latest View live




Latest Images