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
full_finished_basement is a kind of room	1111	06-jul-2018	90.8
n06130 is a ZIP code	1112	24-jul-2018	99.8
los_angeles_ca is a county	1111	06-jul-2018	100.0
equivalent_light_output is a perception event	1111	06-jul-2018	97.8
wascana_creek is a river	1111	06-jul-2018	100.0
seattle_seahawks_21_10 is a sports team that won the super_bowl_xlii	1113	15-aug-2018	100.0
hillary has husband president_bill_clinton001	1116	12-sep-2018	96.9
high_street is a street in the city edinburgh	1116	12-sep-2018	100.0
dome is an attraction made of concrete	1111	06-jul-2018	100.0
andy_green died in the location new_south_wales	1116	12-sep-2018	100.0