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
nickolay_bokhonok is a professor	1111	06-jul-2018	91.2
ringingness is an emotion	1111	06-jul-2018	97.6
sausage_casserole is a type of meat	1111	06-jul-2018	99.7
assateague_island_national_park is a monument	1111	06-jul-2018	99.8
n0_42_miles is a non-sports, non-electronic game	1111	06-jul-2018	95.3
juan_abreu plays the sport baseball	1116	12-sep-2018	99.8
industrial___commercial_bank is a bank in china	1114	25-aug-2018	93.8
foliage has color gold	1111	06-jul-2018	100.0
bed is often found in private_cottage	1111	06-jul-2018	100.0
george_stevens directed the movie giant	1115	03-sep-2018	98.4