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
chain_lymph_nodes is a lymph node	1111	06-jul-2018	99.1
landmark_credit_union is a bank	1111	06-jul-2018	100.0
party_of_greens_of_ukraine is a political party	1111	06-jul-2018	100.0
small_jumping_spider is an arachnid	1111	06-jul-2018	100.0
battle_of_hill_282 is a military conflict	1111	06-jul-2018	100.0
hyundai has acquired kia	1114	25-aug-2018	99.9
indo_aryan is the language of the country india	1115	03-sep-2018	98.4
anderson graduated from high_school	1114	25-aug-2018	99.2
jordan_danks plays the athletic team position player	1113	15-aug-2018	100.0
minnesota_wilds is headquartered in the state or province new_york	1116	12-sep-2018	100.0