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
hair_dye_allergy is a personal care product	1111	06-jul-2018	98.6
center_ends is a sports team position	1111	06-jul-2018	99.1
jason_steele is an Australian person	1111	06-jul-2018	99.8
brilliant_white_stars is a geometric shape	1111	06-jul-2018	97.3
one_suite is a visualizable object	1111	06-jul-2018	98.6
sony is related to ps2	1115	03-sep-2018	100.0
national is a company that has an office in the country kenya	1114	25-aug-2018	100.0
j_p__arencibia is a person also known as aaron_rodgers	1115	03-sep-2018	100.0
stansted_airport is a generalization of temple_of_the_reclining_buddha	1113	15-aug-2018	100.0
n7_07am is the time of the event two_earthquakes_hit_the_east_midlands	1116	12-sep-2018	100.0