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
james_sims coaches a sports team	1111	06-jul-2018	91.8
solid_core_interior_doors is something found in or on buildings	1111	06-jul-2018	98.3
one_paw is a part of the body	1111	06-jul-2018	94.8
los_peque_os is a currency	1111	06-jul-2018	99.9
redwood_tree is a plant	1111	06-jul-2018	99.3
ny is a sate or province located in the country u_s_	1116	12-sep-2018	100.0
the country u_s__officials uses the currency won	1116	12-sep-2018	100.0
n200_000_americans participated in the event result	1111	06-jul-2018	93.8
sciences is an academic program at the university former_college	1114	25-aug-2018	100.0
santa_cruz is a city also known as columbia	1112	24-jul-2018	93.8