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
name_viagra is a product	1111	06-jul-2018	94.8
game_websites_ is a cardgame	1111	06-jul-2018	99.8
overnight_meeting is a perception action	1111	06-jul-2018	93.0
rocky_mountain_wood_tick is an arthropod	1111	06-jul-2018	99.8
center_power is a sports team position	1111	06-jul-2018	98.7
hollywood_wax_museum is a museum in the city los_angeles_ca	1116	12-sep-2018	100.0
the sport baseball was played at n1958_world_series	1116	12-sep-2018	100.0
lemon is an agricultural product that is usually cooked with garlic	1113	15-aug-2018	99.2
cloak is a clothing item to go with shirt	1111	06-jul-2018	93.8
english is a language used in the university catholic_university	1115	03-sep-2018	95.6