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
circuitry_capacity is a character trait	1111	06-jul-2018	99.3
anthony_johnson is a politician	1111	06-jul-2018	100.0
cadherin_5 is a protein	1111	06-jul-2018	100.0
oscar_winner_angelina_jolie is an actor	1111	06-jul-2018	95.7
cosmic_clock is an item often found in a bedroom	1111	06-jul-2018	99.9
pests is an arthropod as well as spider_mites also is	1111	06-jul-2018	96.9
prince has citizenship in the country denmark	1114	25-aug-2018	100.0
sharp_corporation is a company also known as samsung	1114	25-aug-2018	93.8
republican is a person who has residence in the geopolitical location new_york	1114	25-aug-2018	93.9
president_jimmy_carter is a U.S. politician who holds the office of u_s__secretary	1115	03-sep-2018	100.0