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
budapest_international_airport is an airport	1112	24-jul-2018	100.0
yazoo_river is a river	1111	06-jul-2018	100.0
iron_age_safety_shoes is a kind of clothing	1111	06-jul-2018	100.0
charcot_marie_tooth_disease_type_4b1 is a physiological condition	1111	06-jul-2018	99.7
dining_room_with_balcony is a kind of room	1111	06-jul-2018	98.9
national is a bank that bought lic	1114	25-aug-2018	100.0
eggs is an agricultural product coming from reptiles	1112	24-jul-2018	97.1
ronald_reagan is related to ronald_reagan	1116	12-sep-2018	100.0
wade_boggs is an athlete who injured his/her back	1115	03-sep-2018	100.0
engineering_projects is a subpart of water	1111	06-jul-2018	99.2