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
n20_00_eur is a year	1111	06-jul-2018	100.0
silver_anodised_aluminium is a building material	1111	06-jul-2018	99.2
pork_loin_roasts is a type of meat	1111	06-jul-2018	98.4
sphingomonas_molluscorum is a bacterium	1111	06-jul-2018	100.0
glare is a perception event	1111	06-jul-2018	99.7
raul_ibanez plays the sport baseball	1116	12-sep-2018	98.4
cecil_fielder is the father of prince_fielder	1115	03-sep-2018	100.0
clash is a musician in the genre rock	1111	06-jul-2018	100.0
ford is a company that produces granada	1114	25-aug-2018	99.6
george_carlin was born in the city new_york	1116	12-sep-2018	100.0