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
new_san_francisco_oakland_bay_bridge is a bridge	1111	06-jul-2018	96.8
julian_christopher is an Australian person	1111	06-jul-2018	99.8
doom_3__resurrection_of_evil is a video game	1111	06-jul-2018	100.0
michele_combs is an actor	1111	06-jul-2018	91.2
belo_horizonte is a city	1111	06-jul-2018	99.7
pulses is related to india	1115	03-sep-2018	100.0
landmines is a type of weapon produced in china	1111	06-jul-2018	100.0
andrew_jacobs is a journalist that writes for the publication new_york_times	1112	24-jul-2018	96.9
dell_inc terminated the employment of michael_dell	1113	15-aug-2018	100.0
air_arabia is a company that has an office in the city sharjah	1111	06-jul-2018	100.0