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
american_furniture_manufacturers_association is a professional organization	1111	06-jul-2018	100.0
faith___family_magazine is a newspaper	1111	06-jul-2018	100.0
thunderstorm_wind is a weather phenomenon	1111	06-jul-2018	98.7
building_trades_federal_cr_union is a credit union	1111	06-jul-2018	100.0
ngangela is an ethnic group	1111	06-jul-2018	95.2
william_blake is a visual artist in the field of paintings	1116	12-sep-2018	99.2
the_morgan_library___museum is a museum in the city new_york	1116	12-sep-2018	93.8
dry_bean is related to india	1115	03-sep-2018	100.0
nintendo_ is related to snes	1114	25-aug-2018	100.0
duloxetine is expected to come to market on n2002	1116	12-sep-2018	100.0