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
n1995_world_series is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
clove_leaves is a vegetable	1111	06-jul-2018	94.7
toa_yuen_restaurant is a restaurant	1111	06-jul-2018	100.0
casement_doors is an item often found in a hallway	1111	06-jul-2018	100.0
ron_oswanski is an actor	1111	06-jul-2018	91.3
chevrolet is a company that produces impala	1114	25-aug-2018	100.0
commonwealth_countries is a generalization of canada	1116	12-sep-2018	93.8
black_pepper is an agricultural product that is usually cooked with nutmeg	1114	25-aug-2018	99.6
richard_wright wrote the book native_son	1111	06-jul-2018	100.0
the sport baseball was played at n1912_world_series	1116	12-sep-2018	100.0