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
kota_kinabalu_international_airport is a transportation port	1111	06-jul-2018	100.0
world_document is a building	1111	06-jul-2018	96.5
soup_with_dumplings_recipe is a recipe	1111	06-jul-2018	99.6
full_size_futon is a kind of furniture	1111	06-jul-2018	99.7
monterey_vineyard is a winery	1111	06-jul-2018	100.0
prince has citizenship in the country montenegro	1114	25-aug-2018	93.8
kuznetsova is an athlete who beat williams	1115	03-sep-2018	96.9
children is an animal that can develop disorders_face	1111	06-jul-2018	93.8
jane_wyman is related to jane_wyman	1116	12-sep-2018	100.0
the sport baseball was played at n1965_world_series	1116	12-sep-2018	100.0