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
n51_km is a parlour game	1111	06-jul-2018	100.0
phone_ringtone_music is an item found on a table	1111	06-jul-2018	99.7
alexander_von_humboldt is a monarch	1111	06-jul-2018	98.8
ettione_stuckey is an African person	1111	06-jul-2018	90.5
nyckelharpa is a musical instrument	1111	06-jul-2018	94.2
scorpions is called spiders	1111	06-jul-2018	90.7
kcal is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	100.0
the sports team new_york_mets was the winner of n1969_world_series	1116	12-sep-2018	100.0
beatrix_potter wrote the book peter_rabbit	1111	06-jul-2018	98.4
brains is a subpart of the body within system	1111	06-jul-2018	100.0