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
dearborn_hotels is a park	1111	06-jul-2018	90.4
rectangular_emerald is a geometric shape	1111	06-jul-2018	97.8
islamic_gama_at is a terrorist organization	1111	06-jul-2018	99.3
supraesophageal_ganglion is a nerve	1111	06-jul-2018	98.5
seeka_boutique_resort is a hotel	1111	06-jul-2018	94.6
chase_field is a stadium or event venue located in the city downtown_phoenix	1116	12-sep-2018	99.3
mon_ami_gabi is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
football_players is a generalization of walter_payton	1113	15-aug-2018	100.0
paul_simonon is a musician who is part of clash	1111	06-jul-2018	100.0
rio is the capital city of the country the_united_kingdom	1116	12-sep-2018	93.8