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
john_phipps is a journalist	1111	06-jul-2018	100.0
borrelia_burgdorferi_bacterium is a bacterium	1111	06-jul-2018	100.0
mike_b__anderson is an African person	1111	06-jul-2018	100.0
buckingham_cemetery is a place of worship	1111	06-jul-2018	99.9
swollen_lymph_nodes_rash is a lymph node	1111	06-jul-2018	99.5
cells is a subpart of the body within tumor	1111	06-jul-2018	99.6
gas_prices is a generalization of nuclear_missile	1111	06-jul-2018	100.0
toni_morrison contributed to the creative work sula	1112	24-jul-2018	93.8
agency_for_healthcare_research is headquartered in the country u_s_	1116	12-sep-2018	96.9
sega is related to xbox	1114	25-aug-2018	99.6