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
discussion_the_meeting is a perception action	1111	06-jul-2018	96.4
leon_bloy is a person	1111	06-jul-2018	94.3
n07__00_pm is a time	1111	06-jul-2018	100.0
iceland___reykjavik is a country	1111	06-jul-2018	96.9
castor_oil_glycidyl_ether is a chemical	1111	06-jul-2018	100.0
new_dehli is the capital city of the country india	1116	12-sep-2018	100.0
bed is often found in lower_level_master	1116	12-sep-2018	93.8
kevin_martin is an athlete who led kings	1116	12-sep-2018	100.0
island_gardens is a park in the city central_london	1116	12-sep-2018	100.0
hemp is an agricultural product produced in china	1111	06-jul-2018	100.0