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
brilliant_silver is a color	1111	06-jul-2018	99.9
the_execution_of_all_things is a musical album	1111	06-jul-2018	99.9
buffalo_river_area is a monument	1111	06-jul-2018	99.9
national_economic_action_council is a professional organization	1111	06-jul-2018	99.9
n11_32_pm is a time	1111	06-jul-2018	100.0
kaza is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	99.9
nissan makes the automobile nissan_pathfinder	1114	25-aug-2018	100.0
hillary is a U.S. politician who holds the office of u_s__senator	1116	12-sep-2018	100.0
great_ormond_street is a hospital in the city central_london	1116	12-sep-2018	100.0
n110_rockets is a type of weapon produced in israel	1114	25-aug-2018	99.9