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
wong_kar_wei is a director	1111	06-jul-2018	90.7
rick_ramos is a chef	1111	06-jul-2018	94.3
travel_alarm_clock is an item found on a wall	1111	06-jul-2018	99.7
more_work is a hobby	1111	06-jul-2018	99.4
econo_lodge_jefferson_city is a hotel	1111	06-jul-2018	94.7
andrew_jacobs is a journalist that writes for the publication new_york_times	1112	24-jul-2018	96.9
stephen has citizenship in the country hungary	1112	24-jul-2018	100.0
helmsley is a hotel in the city nueva_york	1116	12-sep-2018	99.5
chen works for youtube	1111	06-jul-2018	100.0
belichick coaches the team cleveland_browns	1116	12-sep-2018	98.4