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
rare_meeting is a perception action	1111	06-jul-2018	93.3
california_landscape_contractors_association is a non-profit organization	1111	06-jul-2018	99.2
hilton_houston_hobby_airport is a place to ski	1111	06-jul-2018	90.0
heinrich_maria_davringhausen is a scientist	1111	06-jul-2018	99.9
bbw_magazine is a magazine	1111	06-jul-2018	99.9
st__pete_times_forum is the home venue for the sports team tampa_bay_lightning	1116	12-sep-2018	100.0
jonathan_sanchez plays for the team eventual_super_bowl_champion_new_york_giants	1116	12-sep-2018	100.0
stove is often found in kitchenette	1111	06-jul-2018	99.6
mount_augusta is a mountain in the state or province alaska	1116	12-sep-2018	100.0
eden has spouse temple	1116	12-sep-2018	93.8