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
denver_nissan is an automobile manufacturer	1111	06-jul-2018	95.7
ceiling_arched_windows is something found in or on buildings	1111	06-jul-2018	99.4
tony_armas_jr is an athlete	1111	06-jul-2018	100.0
bradford_county_telegraph is a political blog	1111	06-jul-2018	99.9
live__in_the_shadow_of_the_blues is a musical album	1111	06-jul-2018	100.0
kuznetsova is an athlete who beat williams	1115	03-sep-2018	96.9
the companies newark_star_ledger and los_angeles compete with eachother	1111	06-jul-2018	93.8
demarcus_ware plays for the team oklahoma_state	1116	12-sep-2018	99.2
display001 looks like desktop	1111	06-jul-2018	99.6
tux is a clothing item to go with boots	1111	06-jul-2018	93.8