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
marlboro_new_jersey is an island	1111	06-jul-2018	95.5
dodge_ramcharger_engines is a kind of automobile engine	1111	06-jul-2018	100.0
logistic_function is a machine-learning algorithm	1111	06-jul-2018	98.3
n1995_national_league_division_series is a sports game	1111	06-jul-2018	99.9
charles_mazda is a company	1111	06-jul-2018	95.3
dwight_howard is an athlete who led magic	1116	12-sep-2018	100.0
jordan_danks is an athlete who injured his/her eyes	1113	15-aug-2018	100.0
size_bed is often found in one_bed_room	1111	06-jul-2018	96.9
ldv is a specific automobile maker dealer in _uk	1116	12-sep-2018	98.4
michael_jordan is an expert in the machine-learning area of bayesian_inference	1112	24-jul-2018	100.0