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
student_laptops is a consumer electronic device	1111	06-jul-2018	100.0
hotel_klassic_gold is a hotel	1111	06-jul-2018	97.4
jane_preeter is a Canadian person	1111	06-jul-2018	91.9
family_table_restaurant is a restaurant	1111	06-jul-2018	100.0
pineapple_pie is a visualizable thing	1111	06-jul-2018	97.9
kiis is headquartered in the city los_angeles_ca	1116	12-sep-2018	100.0
marvin_williams is an athlete coached by mike_woodson	1116	12-sep-2018	100.0
madona has husband sean_penn	1116	12-sep-2018	100.0
black_cod is a fish that can be served with the food top in a meal (or dish)	1116	12-sep-2018	93.8
service is headquartered in the country u_s_	1116	12-sep-2018	100.0