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
jennifer_nicole_freeman is an actor	1111	06-jul-2018	100.0
adobe_window is a household item	1111	06-jul-2018	100.0
bomb_fragments is a weapon	1111	06-jul-2018	97.4
linda_offenheiser is a writer	1111	06-jul-2018	91.5
american_urological_association_annual_meeting is a music festival	1111	06-jul-2018	100.0
the sports leage ncaa uses the venue wien_stadium	1111	06-jul-2018	100.0
the sports team yankees was the winner of alds	1116	12-sep-2018	93.8
peters_park is a park in the city boston	1116	12-sep-2018	100.0
scorpions is an arthropod as well as arachnids also is	1111	06-jul-2018	100.0
agassi is an athlete who wins french_open	1116	12-sep-2018	99.2