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
alignment_capacity is a character trait	1111	06-jul-2018	99.1
north_fork_smith_creek is a river	1111	06-jul-2018	100.0
n2002_toyota_sienna is a model of automobile	1111	06-jul-2018	90.8
twicon is a convention	1111	06-jul-2018	99.8
school_and_constitutional_amendment_election is an election	1111	06-jul-2018	96.8
national is a company that has an office in the country malta	1114	25-aug-2018	100.0
jelena_jankovic is an athlete who beat kuznetsova	1115	03-sep-2018	100.0
jannero_pargo plays in the league nba	1116	12-sep-2018	100.0
temptations is a musician in the genre soul	1114	25-aug-2018	93.8
andre_johnson and quarterback_matt_schaub are teammates	1111	06-jul-2018	99.6