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
twenty_eight_students is a victim	1111	06-jul-2018	100.0
kxxv_tv is a TV station	1111	06-jul-2018	99.9
ford_taunus_17m is a kind of vehicle	1111	06-jul-2018	99.8
beef_tomatoes is an agricultural product	1111	06-jul-2018	99.1
whit is a radio station	1111	06-jul-2018	96.9
khmer is the language of the country thailand	1112	24-jul-2018	96.9
peoples is a bank in china	1111	06-jul-2018	99.9
lehman_brothers is a bank that has dick_fuld as its CEO	1116	12-sep-2018	98.4
raptors is a sports team that played in games	1111	06-jul-2018	100.0
pleasant_hill_road is a street in the city duluth	1116	12-sep-2018	100.0