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
port_of_quanzhou is a transportation port	1111	06-jul-2018	100.0
internet_corn is a grain	1111	06-jul-2018	90.2
n2_tablespoons_oil is a visualizable thing	1111	06-jul-2018	98.3
brian_burrell is a professor	1111	06-jul-2018	91.3
tim_murray is a commedian	1111	06-jul-2018	100.0
baltimore_washington is an airport in the city baltimore	1116	12-sep-2018	100.0
usa is a country located in the geopolitical location foreign_countries	1112	24-jul-2018	96.9
heritage_farms is a farm in the state or province ohio	1116	12-sep-2018	100.0
phoenix_sky_harbor is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
the companies herald_tribune and journal compete with eachother	1111	06-jul-2018	98.4