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
greg_maddux is a Mexican person	1111	06-jul-2018	100.0
collins_lake is a lake	1111	06-jul-2018	100.0
cool_valentine is a European person	1111	06-jul-2018	100.0
daylily_leaves is a vegetable	1111	06-jul-2018	91.8
demolition_hand_tools is a tool	1112	24-jul-2018	99.3
eagles is a sports team that plays against uconn	1111	06-jul-2018	93.8
trafalgar_square is a park in the city central_london	1116	12-sep-2018	100.0
stephin_merritt is a musician who is part of magnetic_fields	1116	12-sep-2018	99.9
smith001 plays the athletic team position player	1115	03-sep-2018	100.0
cedars_sinai is a hospital in the city los_angeles_ca	1116	12-sep-2018	100.0