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
gothic_clock is an item found on a wall	1111	06-jul-2018	99.5
tour_de_la_communaut__de_madrid is a sports race	1111	06-jul-2018	100.0
gregg_county_restaurant is a restaurant	1111	06-jul-2018	100.0
r_street is a highway	1111	06-jul-2018	100.0
nissan_pickup_v6_king_cab is a kind of vehicle	1111	06-jul-2018	99.9
oscar_wilde wrote the book the_importance_of_being_earnest	1113	15-aug-2018	100.0
roger_cohen is a journalist that writes for the publication new_york_times	1113	15-aug-2018	100.0
belt is found in valley	1113	15-aug-2018	98.4
enquirer is a company headquartered in the city new_york	1116	12-sep-2018	100.0
colette contributed to the creative work claudine_at_school	1112	24-jul-2018	100.0