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
frank_millard is a U.S. politician	1111	06-jul-2018	100.0
maple_road is a street	1111	06-jul-2018	100.0
sony_psp_memory_stick is a consumer electronic device	1111	06-jul-2018	100.0
italy___milan is a country	1111	06-jul-2018	98.4
rue_leaves is a vegetable	1111	06-jul-2018	95.1
starbucks_coffee_company serves iced_coffee	1114	25-aug-2018	100.0
loose_fitting_clothing is a clothing item to go with shoes	1111	06-jul-2018	98.4
adelaide is the capital city of the state or province south_australia	1116	12-sep-2018	100.0
curtis_granderson is an athlete who led yankees	1116	12-sep-2018	99.3
the sports leage mlb uses the venue att_park	1113	15-aug-2018	96.9