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
terrible_mother is a monarch	1111	06-jul-2018	99.0
dimension_capacity is a character trait	1111	06-jul-2018	99.4
viagra_similiar_pages is a product	1111	06-jul-2018	90.2
erector_spinal_muscle is a muscle	1111	06-jul-2018	99.5
vuelta_a_catalunya is a sporting event	1111	06-jul-2018	100.0
steve001 works for work	1112	24-jul-2018	93.8
article has citizenship in the country panama_canal_treaty	1114	25-aug-2018	100.0
onion is an agricultural product that is usually cooked with lemon	1113	15-aug-2018	100.0
martina_navratilova is an athlete who beat monica_seles	1114	25-aug-2018	100.0
restaurant_lafil is a restaurant in the city berlin	1116	12-sep-2018	100.0