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
green_door is an item often found in a hallway	1111	06-jul-2018	100.0
light_feel is a perception event	1111	06-jul-2018	91.1
arctic_beacon is a publication	1111	06-jul-2018	91.8
line_expatriate_health_insurance is an economic sector	1111	06-jul-2018	99.8
the_redd_foxx_show is a TV show	1111	06-jul-2018	99.9
craig_smith is a journalist that writes for the publication times	1112	24-jul-2018	100.0
philadelphia_phillies participated in the event series	1113	15-aug-2018	100.0
asylum terminated the employment of david_geffen	1112	24-jul-2018	100.0
kuznetsova is an athlete who beat maria_sharapova	1115	03-sep-2018	100.0
the home stadium of brent_sopel is wrigley_field	1116	12-sep-2018	100.0