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
aiseesoft_wmv_to_dvd_converter is a consumer electronic device	1111	06-jul-2018	100.0
two_important_roles is a visualizable thing	1111	06-jul-2018	95.5
los_principales_buscadores is a currency	1111	06-jul-2018	99.8
private_support is an event outcome	1111	06-jul-2018	99.8
peugeot_607_2_2i_16v_160 is a kind of vehicle	1111	06-jul-2018	99.9
arsene_wenger was born in the country france_france	1116	12-sep-2018	100.0
knives is a type of weapon produced in china	1111	06-jul-2018	100.0
justine_henin_hardenne is an athlete who beat serena_williams	1114	25-aug-2018	100.0
the coach devin_thomas won the trophy or tournament super_bowl	1115	03-sep-2018	100.0
northwick_park is a hospital in the city central_london	1116	12-sep-2018	100.0