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
battle_of_konzer_brucke is a military conflict	1111	06-jul-2018	100.0
games_success is an event outcome	1111	06-jul-2018	90.8
krystina_bean is a legume	1111	06-jul-2018	97.8
alvin_s__branco is an astronaut	1111	06-jul-2018	100.0
concordia_college____ny is a train station	1111	06-jul-2018	99.4
role is found in observatory	1111	06-jul-2018	98.4
sugarloaf_mountain is a mountain in the state or province florida	1116	12-sep-2018	100.0
sweats is a clothing item to go with jeans	1111	06-jul-2018	100.0
francis_moore was born in the state or province new_york	1116	12-sep-2018	100.0
england held the position of king	1116	12-sep-2018	99.9