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
cleeves_cove_cave is a cave	1111	06-jul-2018	100.0
theta_alpha_phi is a professional organization	1111	06-jul-2018	91.6
bathroom_glass_countertop_faucet is an item often found in a bathroom	1111	06-jul-2018	99.7
western_australian_art_gallery is a museum	1111	06-jul-2018	90.7
snickers_almond is a kind of candy	1111	06-jul-2018	96.7
english is a language used in the university catholic_university	1115	03-sep-2018	95.6
clint_eastwood contributed to the creative work gran_torino	1111	06-jul-2018	93.8
triangle has shape geometry	1112	24-jul-2018	99.6
sinequan is a drug worked on by pfizer	1114	25-aug-2018	93.8
southampton_airport is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0