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
alberto_casella is a writer	1111	06-jul-2018	91.6
days_inn_valdosta is a hotel	1111	06-jul-2018	94.5
business_facilities is a kind of room	1111	06-jul-2018	99.9
diversified_communications_tower is a skyscraper	1111	06-jul-2018	100.0
framed_mirror is a household item	1111	06-jul-2018	100.0
alessandra_stanley is a journalist that writes for the publication new_york_times	1112	24-jul-2018	99.8
easyjet is a company that has an office in the city faro	1112	24-jul-2018	93.8
wcbs_tv is a radio station in the city new_york	1116	12-sep-2018	100.0
the companies video and youtube compete with eachother	1111	06-jul-2018	100.0
sammy_baugh plays in the league nfl	1116	12-sep-2018	90.2