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
culture_students is a victim	1111	06-jul-2018	100.0
vcideo_poker is a non-sports, non-electronic game	1111	06-jul-2018	98.6
foie_gras_sauce is a condiment	1111	06-jul-2018	99.9
fifty_states is a political party	1111	06-jul-2018	100.0
lisa_o_brien is a chef	1111	06-jul-2018	94.2
mitsubishi makes the automobile colt	1114	25-aug-2018	94.4
disney_world001 is a building located in the city orlando	1116	12-sep-2018	99.6
marc_chagall is a visual artist in the field of paintings	1116	12-sep-2018	99.8
the companies new_york and herald compete with eachother	1111	06-jul-2018	100.0
alexander has citizenship in the country russia	1113	15-aug-2018	99.6