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
_262 is a year	1111	06-jul-2018	100.0
pelagiidae is an insect	1111	06-jul-2018	100.0
n1984_school_election is an election	1111	06-jul-2018	93.4
lunar_phase is a non-disease physiological condition	1111	06-jul-2018	91.3
open_plan_suites is an office building room	1111	06-jul-2018	98.9
wlw is a TV station in the city cincinnati	1116	12-sep-2018	100.0
national is a bank that bought cibc_world_markets	1114	25-aug-2018	100.0
holliday plays the athletic team position player	1115	03-sep-2018	96.9
los_angeles_international is an attraction that will be fall in city los_angeles_ca	1116	12-sep-2018	99.8
n24 is the number of people injured in the event n2_die_in_thai_protest_camp_attack	1116	12-sep-2018	100.0