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
adam_cunnington is a professor	1111	06-jul-2018	91.2
china_medical_college is a school	1114	25-aug-2018	99.6
war_eagle_cave is a cave	1111	06-jul-2018	100.0
uvs is a state or a province	1111	06-jul-2018	98.6
vioxx_and_bextra is a product	1111	06-jul-2018	99.4
nordic_ski is a sport taught in the country __america	1116	12-sep-2018	100.0
foliage has color red_orange	1111	06-jul-2018	96.9
nashville_predators is headquartered in the state or province new_york	1116	12-sep-2018	93.8
delta_farm is a farm in the state or province washington	1116	12-sep-2018	100.0
the coach jason_campbell won the trophy or tournament super_bowl	1115	03-sep-2018	100.0