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
braxton_hotel is a tourist attraction	1111	06-jul-2018	94.5
cryptic_kelp_crab is a crustacean	1111	06-jul-2018	99.5
humberto_fuentes is a professor	1111	06-jul-2018	91.3
table_layers is a household item	1111	06-jul-2018	91.0
puma_sneakers is a kind of clothing	1111	06-jul-2018	100.0
ford is a company that produces honda_accord	1114	25-aug-2018	93.8
flock is an animal that eats seeds	1115	03-sep-2018	100.0
john_bonham is a musician who is part of led_zeppelin	1115	03-sep-2018	100.0
aaron_brooks is a person also known as miller002	1116	12-sep-2018	100.0
forbes_galleries is a museum in the city new_york	1116	12-sep-2018	100.0