Sep 9–12, 2019

Ali Mollahosseini
Senior Machine Learning Engineer and Tech Lead, Content Understanding and Applied Deep-Learning, Twitter

Ali Mollahosseini is a senior machine learning engineer and tech lead of content understanding and applied deep-learning (CUAD) team at Twitter Cortex. His research focuses on NLP and developing neural network architectures to improve Twitter’s understanding of content on the platform using the latest advances in deep learning. He received his PhD in computer engineering from the University of Denver. He’s published 15 papers in prestigious journals and conferences and has two patents with more than 500 citations.

Sessions

4:50pm–5:30pm Wednesday, September 11, 2019

Location: 230 C

Named entity recognition at scale with deep learning

Models and Methods

Secondary topics: Data, Data Networks, Data Quality, Deep Learning, Machine Learning, Text, Language, and Speech

Sijun He (Twitter), Ali Mollahosseini (Twitter)

Average rating:

(4.00, 1 rating)

Twitter is what’s happening in the world right now. To connect users with the best content, Twitter needs to build a deep understanding of its noisy and temporal text content. Sijun He and Ali Mollahosseini explore the named entity recognition (NER) system at Twitter and the challenges Twitter faces to build and scale a large-scale deep learning system to annotate 500 million tweets per day. Read more.