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
n37_speed_x_cyclone_radio is an item often found in a bedroom	1111	06-jul-2018	99.8
light_heating_oil is a refinery product	1115	03-sep-2018	93.8
sharp_ribbed_salamander is an amphibian	1111	06-jul-2018	100.0
rijeka_airport is a transportation system	1111	06-jul-2018	100.0
corruption_offenses ia a crime or charge	1111	06-jul-2018	100.0
flea an arthropod that can be very irritating to mammal dog	1116	12-sep-2018	100.0
garlic is related to china	1111	06-jul-2018	100.0
sciences is an academic program at the university former_college	1114	25-aug-2018	100.0
rifles is a type of weapon produced in china	1111	06-jul-2018	100.0
kwhy is a company that has an office in the city glendale	1112	24-jul-2018	99.9