Introducing DeepText: Facebook’s text understanding engine
Jun 1, 2016Ahmad Abdulkader, Aparna Lakshmiratan, Joy Zhang

Summary
This post introduces DeepText, a deep learning-based text understanding engine for Facebook. It details the use of convolutional and recurrent neural networks, word embeddings, and semi-supervised learning to achieve near-human accuracy in understanding text across multiple languages. The post highlights the challenges of traditional NLP for text understanding at scale and in diverse languages, and how deep learning addresses these. It also describes the application of DeepText in Messenger for intent detection and for identifying items for sale, and outlines future research directions including joint text-visual understanding and new neural network architectures.
More from the AI Research and Development trail
- An Organizational Second Brain: Building an AI That Learns From Experts
- From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta’s Ads Ranking
- GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model
- Exploring Hierarchical Interest Representation For Meta Ads Deep Funnel Optimization
- Meta’s AI Storage Blueprint at Scale