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
systems_modeling is an academic field	1111	06-jul-2018	94.8
randy_wolf is a Mexican person	1111	06-jul-2018	100.0
sick_computer is an item found on a table	1111	06-jul-2018	99.8
tesla_motors_inc is an automobile manufacturer	1111	06-jul-2018	99.6
spotted_ground_squirrel is an animal	1111	06-jul-2018	100.0
north is a street in the city washington___d___c__	1116	12-sep-2018	100.0
the companies the_los_angeles_times_book_review and new_york compete with eachother	1111	06-jul-2018	98.4
ski is a sport taught in the country us	1115	03-sep-2018	100.0
lindsay_davenport is an athlete who beat venus_williams	1114	25-aug-2018	100.0
paul001 and family are siblings	1114	25-aug-2018	93.8