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
n7_300 is a time	1111	06-jul-2018	100.0
import_specialist is a profession	1111	06-jul-2018	96.1
burlington_county_college is a school	1116	12-sep-2018	100.0
curacao_airport is a transportation system	1111	06-jul-2018	100.0
cat_sound_alarm_clock is an item often found in a bedroom	1111	06-jul-2018	99.8
will_venable plays for the team tampa_bay_devil_rays	1116	12-sep-2018	100.0
salem is the capital city of the state or province oregon	1116	12-sep-2018	96.9
grammy_museum is a museum in the city los_angeles_ca	1116	12-sep-2018	100.0
the companies newark_star_ledger and los_angeles compete with eachother	1111	06-jul-2018	93.8
mark is a person who moved to the state utah	1115	03-sep-2018	99.9