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
bobby_farrelly is a director	1111	06-jul-2018	99.2
video_art is a visual art movement	1112	24-jul-2018	90.6
glass_jewels is a household item	1111	06-jul-2018	93.8
kgy is a radio station	1111	06-jul-2018	96.9
kenalog_in_orabase is a drug	1111	06-jul-2018	95.8
the companies united_states_postal_service and priority compete with eachother	1111	06-jul-2018	100.0
amazon_com_logo is a company also known as amazon_com	1114	25-aug-2018	93.8
volkswagen terminated the employment of martin_winterkorn	1111	06-jul-2018	100.0
novak_djokovic is an athlete who wins australian_open	1115	03-sep-2018	100.0
allen_dulles and john_foster_dulles are siblings	1113	15-aug-2018	93.8