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
contact_address is a website	1111	06-jul-2018	100.0
true_believer_records is a record label	1111	06-jul-2018	98.2
daily_express is a company	1111	06-jul-2018	100.0
rick_ramos is an Australian person	1111	06-jul-2018	94.3
oak_woodland can be a part of a landscape	1111	06-jul-2018	98.3
andrew_luck is an athlete that played for the team of school stanford	1111	06-jul-2018	100.0
short_skirts is a clothing item to go with trousers	1111	06-jul-2018	93.8
ford is a company that produces gt	1114	25-aug-2018	100.0
metis has husband zeus	1116	12-sep-2018	100.0
bed is often found in private_living_room	1111	06-jul-2018	96.9