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
man_fashion_magazines is a kind of media	1111	06-jul-2018	99.1
professional_airline_flight_control_association is a trade union	1112	24-jul-2018	91.7
region_of_lymph_nodes is a lymph node	1111	06-jul-2018	99.2
less_enthusiasm is an emotion	1111	06-jul-2018	95.7
n7_day_alarm_clock is an item often found in a bedroom	1111	06-jul-2018	99.8
kirk_douglas starred in the movie spartacus	1115	03-sep-2018	96.9
lucius and arthur are siblings	1112	24-jul-2018	93.8
crickets is an arthropod as well as spiders also is	1114	25-aug-2018	100.0
juan_dixon coaches in the league nba	1116	12-sep-2018	100.0
suvs is a product produced in soviet_union	1116	12-sep-2018	100.0