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
style_green_beans is an agricultural product	1111	06-jul-2018	98.5
green_door is an item often found in a hallway	1111	06-jul-2018	100.0
erie_community_college_south_campus is a university	1111	06-jul-2018	100.0
sibley_missouri is a beach	1111	06-jul-2018	95.1
tinquilco_lake is a lake	1111	06-jul-2018	100.0
arrowhead is an attraction made of copper	1116	12-sep-2018	100.0
scandinavia is a country also known as china	1111	06-jul-2018	98.4
hockey is a sport played in the venue xcel_energy_center	1114	25-aug-2018	100.0
youtube operates the website youtube_com	1111	06-jul-2018	100.0
silvio_berlusconi held the position of prime_minister	1111	06-jul-2018	100.0