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
n5_000_inhabitants is a geopolitical entity that is an organization	1111	06-jul-2018	94.7
sanford_home is a location	1114	25-aug-2018	99.6
deep_external_pudendal is a nerve	1111	06-jul-2018	98.9
kaliakra_stadium is a stadium or event venue	1111	06-jul-2018	95.2
crisis_evil_2 is a video game	1111	06-jul-2018	100.0
cells is a subpart of the body within cord_blood	1111	06-jul-2018	100.0
taxpayers participated in the event result	1113	15-aug-2018	99.6
the home stadium of ed_belfour is wrigley_field	1116	12-sep-2018	100.0
incheon_international is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
melbourne_airport is an attraction that will be fall in city melbourne	1116	12-sep-2018	99.2