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
n6_18_pm is a time	1111	06-jul-2018	100.0
n2010 is a date	1114	25-aug-2018	100.0
honey_brown_hair is a personal care product	1111	06-jul-2018	98.5
poker_ceasars is a cardgame	1111	06-jul-2018	91.6
open_rear_door is an item often found in a hallway	1111	06-jul-2018	99.7
qwest is a tourist attraction in the city seattle	1116	12-sep-2018	96.1
antonio_pierce plays for the team eventual_super_bowl_champion_new_york_giants	1116	12-sep-2018	99.6
finding_needles_in_exponential_haystacks occurrs in the building wean_hall	1116	12-sep-2018	100.0
wsm is a radio station in the city nashville	1116	12-sep-2018	99.7
charles held the position of king	1115	03-sep-2018	100.0