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
capillary_blood_vessels is an artery	1111	06-jul-2018	99.6
em_poquer_online is a board game	1111	06-jul-2018	100.0
iron_finial is a building material	1111	06-jul-2018	98.3
male_mice is a mammal	1111	06-jul-2018	91.5
josh_copeland is a North American person	1111	06-jul-2018	91.2
evan_williams is the CEO of facebook	1116	12-sep-2018	96.9
the loosing score of n2006_orange_bowl was 23	1116	12-sep-2018	100.0
vodafone terminated the employment of arun_sarin	1114	25-aug-2018	100.0
johnson001 is a musician who plays the piano	1114	25-aug-2018	93.8
kenwood_house is a park in the city central_london	1116	12-sep-2018	100.0