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
chicken_breast_filet is a type of meat	1111	06-jul-2018	99.2
shenandoah_valley_regional_airport is a transportation system	1111	06-jul-2018	100.0
open_rear_door is an item often found in a hallway	1111	06-jul-2018	99.7
car_prices_car is a product	1111	06-jul-2018	90.6
biological_basis_of_behavior is an academic field	1111	06-jul-2018	94.2
federal_reserve_bank is headquartered in the country u_s_	1116	12-sep-2018	96.9
howie_long is related to howie_long	1116	12-sep-2018	100.0
the companies the_chicago_tribune and new_york compete with eachother	1111	06-jul-2018	99.9
ford has acquired lincoln	1114	25-aug-2018	100.0
children is an animal that can develop oi_	1113	15-aug-2018	96.9