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
marchand_cells is a type of biological cell	1111	06-jul-2018	96.9
cosmic_clock is an item often found in a bedroom	1111	06-jul-2018	99.9
amadeo_avogadro is a scientist	1111	06-jul-2018	92.3
troy_francis is a commedian	1111	06-jul-2018	90.4
florida_international_university is a sports team	1111	06-jul-2018	100.0
bed is often found in site	1116	12-sep-2018	100.0
hockey is a sport played in the venue st__pete_times_forum	1112	24-jul-2018	100.0
borlange is a city located in the country sweden	1116	12-sep-2018	96.9
onion is related to india	1115	03-sep-2018	100.0
jeff_porcaro is a musician who is part of toto	1113	15-aug-2018	99.8