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
robert_robertson is a journalist	1111	06-jul-2018	100.0
imperial_chemical_industries_plc is a biotech company	1111	06-jul-2018	100.0
stegner_fellow is a job position	1111	06-jul-2018	94.9
vegetables_and_noodle_soup_recipes is a recipe	1111	06-jul-2018	99.7
bay_area_lawyers is a political organization that is not part of the government	1111	06-jul-2018	91.1
the sport baseball was played at n1973_world_series	1116	12-sep-2018	100.0
whales is a type of marine_mammals	1116	12-sep-2018	100.0
surrey_university is a sports team that plays in the league international	1116	12-sep-2018	96.9
garlic is an agricultural product that is usually cooked with lemon	1113	15-aug-2018	96.9
prince has citizenship in the country britain	1114	25-aug-2018	100.0