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
standard_room_our_standard_rooms is a kind of room	1111	06-jul-2018	99.4
local_african_language is a language	1111	06-jul-2018	99.3
english_majors is a victim	1111	06-jul-2018	100.0
countless_islands can be a part of a landscape	1111	06-jul-2018	99.4
blackberry_accessories is an item often found in a bathroom	1111	06-jul-2018	99.9
christian participated in the event heavyweight_championship	1112	24-jul-2018	93.8
n6152 is the number of people injured in the event n2011_t_hoku_earthquake_and_tsunami	1116	12-sep-2018	100.0
the sports team new_york_mets was the winner of n1969_world_series	1116	12-sep-2018	100.0
star is a building located in the city las_vegas	1116	12-sep-2018	99.6
steelers hired bill_cowher	1112	24-jul-2018	93.8