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
calliotropidae is a mollusk	1111	06-jul-2018	100.0
diego_marquez is an actor	1111	06-jul-2018	90.9
human_neuropsychiatric_disorders is a physiological condition	1111	06-jul-2018	92.5
white_front_door is an item often found in a hallway	1111	06-jul-2018	99.7
full_time_mba_students is a victim	1111	06-jul-2018	100.0
methotrexate is a drug worked on by pfizer	1114	25-aug-2018	100.0
invesco_field_at_mile_high is the home venue for the sports team broncos	1116	12-sep-2018	98.4
spiders is an animal that is a kind of predators	1111	06-jul-2018	100.0
bed is often found in square_foot_rooms	1115	03-sep-2018	93.8
clint_eastwood contributed to the creative work gran_torino	1111	06-jul-2018	93.8