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
n7_9__ is a machine-learning algorithm	1111	06-jul-2018	100.0
city_county_credit_union_st_paul_mn is a credit union	1111	06-jul-2018	100.0
arbuckle_lake is a lake	1111	06-jul-2018	100.0
wkpc_tv is a TV station	1111	06-jul-2018	99.6
manex_arena is a stadium or event venue	1111	06-jul-2018	100.0
first_game is an event at the location new_south_wales	1116	12-sep-2018	93.8
bed is often found in lower_level_master	1115	03-sep-2018	93.8
matthew_l__wald works for times	1111	06-jul-2018	96.9
jeep makes the automobile land_rover_discovery	1114	25-aug-2018	93.8
warburg_pincus is a shareholder in the company mbia	1114	25-aug-2018	100.0