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
university_of_new_mexico_gallup is a university	1111	06-jul-2018	100.0
april_15_2005 is a date	1111	06-jul-2018	96.8
loud_beeping_sound is a perception event	1111	06-jul-2018	96.8
the_dj_kat_show is a TV show	1111	06-jul-2018	100.0
dark_wooden_door is an item often found in a hallway	1111	06-jul-2018	99.9
bed is often found in one_bedroom_cabins	1111	06-jul-2018	96.9
kentucky is a company in the economic sector of insurance	1113	15-aug-2018	100.0
ryan is a person who moved to the state california	1115	03-sep-2018	100.0
chesapeake_bay is a lake in the state or province maryland	1116	12-sep-2018	99.9
colin_hay is a musician who is part of men_at_work	1111	06-jul-2018	96.9