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
inveterate_collector is a profession	1111	06-jul-2018	98.1
turpentine_borer is an insect	1111	06-jul-2018	100.0
jessica_jaymes is a female	1111	06-jul-2018	100.0
loyal_inn is a place to ski	1111	06-jul-2018	95.6
adenylate_cyclase_4 is a protein	1111	06-jul-2018	100.0
abc terminated the employment of mcpherson001	1112	24-jul-2018	96.9
pete_seeger is a musician in the genre folk	1113	15-aug-2018	100.0
vancouver_general_hospital is a hospital in the city vancouver	1116	12-sep-2018	100.0
london_sea_life_aquarium is a zoo in the city central_london	1116	12-sep-2018	100.0
larger_animals is an animal that preys on deer	1112	24-jul-2018	100.0