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
leather_sleeper_couch is a kind of furniture	1111	06-jul-2018	99.7
collins_zoo is an aquarium	1111	06-jul-2018	100.0
particular_picture is form of visual art	1111	06-jul-2018	97.0
world_war_ii_farm is a farm	1111	06-jul-2018	99.8
cedar_point_federal_credit_union is a bank	1111	06-jul-2018	100.0
newark_liberty_international is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
willy_taveras is a person who belongs to the organization colorado_rockies	1112	24-jul-2018	93.8
arthur_miller wrote the book the_crucible	1113	15-aug-2018	100.0
the companies financial and herald compete with eachother	1111	06-jul-2018	99.9
spurs is a sports team that won the nba_championship	1114	25-aug-2018	100.0