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
sean_davidson ia a celebrity	1111	06-jul-2018	90.8
snowboarding_boots is a kind of clothing	1111	06-jul-2018	91.7
tour_de_l_aude_cycliste_feminin is a sports race	1111	06-jul-2018	100.0
construction_clock is an item found on a wall	1111	06-jul-2018	99.6
grille_software is a tool	1111	06-jul-2018	99.4
steve is a subpart of microsoft	1111	06-jul-2018	99.8
spaghetti_straps is a clothing item to go with dresses	1111	06-jul-2018	93.8
national is a company that has an office in the country hungary	1114	25-aug-2018	100.0
interstate is a street in the city redding	1116	12-sep-2018	100.0
the home stadium of donnie_avery is dome	1116	12-sep-2018	100.0