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
services_aluminum is a building material	1111	06-jul-2018	97.1
kerrville_restaurant is a restaurant	1111	06-jul-2018	100.0
two_part_mould is a fungus	1111	06-jul-2018	92.0
online_journal is a blog	1111	06-jul-2018	100.0
sutter_center_for_psychiatry is a hospital	1111	06-jul-2018	100.0
robot_futures occurrs at the date april_3__2013	1116	12-sep-2018	100.0
emirates_durham_international_cricket_ground is related to emirates	1114	25-aug-2018	100.0
president_bill_clinton is a U.S. politician who holds the office of president	1116	12-sep-2018	99.2
boeing hired scott_carson	1112	24-jul-2018	100.0
colette contributed to the creative work claudine_at_school	1112	24-jul-2018	100.0