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
_340_00 is a year	1111	06-jul-2018	100.0
kindred_hospital_san_francisco_bay_area is a hospital	1111	06-jul-2018	100.0
st__petersburg_junior_college_clearwater is a train station	1111	06-jul-2018	99.4
angola_louisiana is an island	1111	06-jul-2018	96.1
jarvis_cocker is a musician	1111	06-jul-2018	99.7
swords is a type of weapon produced in china	1111	06-jul-2018	100.0
san_diego_chargers is a sports team that plays the sport football	1116	12-sep-2018	100.0
mount_augusta is a mountain in the state or province alaska	1116	12-sep-2018	100.0
roosevelt_mall_shopping_center is a shopping mall in the city philadelphia	1116	12-sep-2018	100.0
companies is a subpart of water_supply	1111	06-jul-2018	96.9