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
alexander_johnson is an athlete	1111	06-jul-2018	100.0
florence_dupont_employees__federal_credit_union is a credit union	1111	06-jul-2018	100.0
hard_glint is a perception event	1111	06-jul-2018	96.8
austria_open is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
taltson_river is a river	1111	06-jul-2018	100.0
president_obama is a U.S. politician endorsed by the U.S. politician hillary_clinton	1112	24-jul-2018	99.8
ark contributed to the creative work commandments	1113	15-aug-2018	100.0
bed is often found in style_room	1111	06-jul-2018	100.0
adam and noah are family members	1111	06-jul-2018	93.8
world_series is a awardtrophytournament that was awarded in stadiumoreventvenue u_s__bank_arena	1114	25-aug-2018	100.0