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
buick_enclave_engines is a kind of automobile engine	1111	06-jul-2018	100.0
sopron is a geopolitical entity that is a location	1111	06-jul-2018	91.9
n1991_school_election is an election	1111	06-jul-2018	95.6
nasuwt_union is a trade union	1111	06-jul-2018	92.2
christina_cabot is a commedian	1111	06-jul-2018	91.4
cain is the father of enoch	1116	12-sep-2018	100.0
white_soxs is a sports team that won the world_series	1115	03-sep-2018	100.0
microsoft was responsible for microsoft_surface_pro_3_to_launch_alongside_surface_mini_	1115	03-sep-2018	100.0
the country india uses the currency rupees	1116	12-sep-2018	100.0
stanford hired mike_montgomery	1111	06-jul-2018	98.8