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
vintage_steel_wheel_farm is a farm	1111	06-jul-2018	99.8
jimmy_choo_shoes is a kind of clothing	1111	06-jul-2018	100.0
thunderstorm_wind is a weather phenomenon	1111	06-jul-2018	98.7
banana_wheat_germ_bread is a baked good	1111	06-jul-2018	100.0
new_york_real_estate_journal is a blog	1111	06-jul-2018	100.0
the final score of the sports game championship was gamescore:n8_6	1116	12-sep-2018	100.0
jack_nicklaus_and_pete_dye is an athlete who wins masters	1114	25-aug-2018	100.0
american_family_insurance is a company in the economic sector of insurance	1114	25-aug-2018	96.9
national is a bank that bought dsp_merrill_lynch	1114	25-aug-2018	100.0
starbucks_coffee_company serves iced_coffee	1114	25-aug-2018	100.0