Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
system_drugs is a video game system	1111	06-jul-2018	97.7
drachmae is a currency	1111	06-jul-2018	93.1
dipping_sauce is an item found in the kitchen	1111	06-jul-2018	99.9
henry_ford_avenue_railroad_bridge is a bridge	1111	06-jul-2018	98.2
union_of_romas_or_sr is a political party	1111	06-jul-2018	100.0
honda is a specific automobile maker dealer in fort_lauderdale	1114	25-aug-2018	93.8
michael_jordan is an expert in the machine-learning area of bayesian_inference	1112	24-jul-2018	100.0
jeep is a specific automobile maker dealer in new_york	1114	25-aug-2018	100.0
seahawks_42_20 is an organization also known as former_green_bay_packers	1113	15-aug-2018	98.4
appetite is a subpart of the body within system	1111	06-jul-2018	100.0