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
hawaiian_banana_muffins_or_bread is a baked good	1111	06-jul-2018	100.0
bathtub_accessories is an item often found in a bathroom	1111	06-jul-2018	99.8
cody_ross is american	1111	06-jul-2018	95.0
metal_clocks is an item often found in a bedroom	1111	06-jul-2018	100.0
banque_de_la_r_union is a bank	1111	06-jul-2018	100.0
tampa_bay_devil_rays is a sports team that played in series	1111	06-jul-2018	99.8
triangle has shape altitude	1112	24-jul-2018	99.8
zoo_aquarium is an aquarium in the city madrid	1116	12-sep-2018	100.0
general_mitchell_international is an attraction that will be fall in city downtown_milwaukee	1116	12-sep-2018	93.8
tarifa is a city located in the country spain	1116	12-sep-2018	93.8