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
bone_marrow_conditions is a disease	1111	06-jul-2018	90.4
center_matter is a sports team position	1111	06-jul-2018	99.5
toxic_drugs is an archaeon	1111	06-jul-2018	91.9
haydenfilms_online_film_festiva is a film festival	1111	06-jul-2018	100.0
texas_tribune is a website	1111	06-jul-2018	100.0
bob_herbert is a journalist that writes for the publication new_york_times	1112	24-jul-2018	100.0
goldman is a company headquartered in the city new_york	1116	12-sep-2018	100.0
stop is a building located in the city las_vegas	1116	12-sep-2018	100.0
eve is the mother of flood	1114	25-aug-2018	93.8
world_series is a awardtrophytournament that was awarded in stadiumoreventvenue u_s__bank_arena	1114	25-aug-2018	100.0