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
kurs is a radio station	1111	06-jul-2018	96.9
capcom_vs_snk__millennium_fight_2000 is software	1111	06-jul-2018	100.0
recent_capacity is a character trait	1111	06-jul-2018	100.0
orb_weaver_araneus_spider is an arachnid	1112	24-jul-2018	100.0
virus_6 is a virus	1111	06-jul-2018	94.1
the final score of the sports game wembley was gamescore:n3_2	1116	12-sep-2018	100.0
mccarran_international is a building located in the city las_vegas	1116	12-sep-2018	100.0
animals is an animal that is a kind of cat	1112	24-jul-2018	100.0
national is a bank in taiwan	1114	25-aug-2018	100.0
kahlil_gibran wrote the book the_prophet	1113	15-aug-2018	100.0