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
mozz is a food	1111	06-jul-2018	97.8
professional_network_engineers is a profession	1111	06-jul-2018	97.5
private_master_bathroom is an office building room	1111	06-jul-2018	98.6
winter_corn is a grain	1112	24-jul-2018	91.0
favourite_capacity is a character trait	1111	06-jul-2018	99.6
air_pacific is a company that has an office in the city honolulu	1112	24-jul-2018	96.9
president_reagan is a politician who holds the office of former_assistant_secretary	1115	03-sep-2018	96.9
mattel has acquired learning_company	1112	24-jul-2018	100.0
ing is a company that has an office in the country scotland	1114	25-aug-2018	93.8
sega is related to nintendo_game_boy	1114	25-aug-2018	93.8