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
n1950___1998 is a year	1111	06-jul-2018	100.0
haleakala_volcano is a mountain range	1111	06-jul-2018	99.9
pool_outdoor_pool is a sport	1111	06-jul-2018	99.9
bellefonte_pennsylvania is an island	1111	06-jul-2018	99.5
n4easysoft_psp_video_converter is a consumer electronic device	1111	06-jul-2018	99.9
steve001 is a person who belongs to the organization state_university	1112	24-jul-2018	100.0
landmines is a type of weapon produced in china	1111	06-jul-2018	100.0
rodin is a visual artist in the field of exhibition	1115	03-sep-2018	96.9
hussein_kamel belongs to the ethnic group iraqi	1116	12-sep-2018	100.0
perth is the capital city of the state or province western_australia	1116	12-sep-2018	100.0