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
ktjm is a radio station	1111	06-jul-2018	97.5
mohen_naorem is a U.S. politician	1111	06-jul-2018	91.2
juan_beniquez is an athlete	1111	06-jul-2018	100.0
inferior_petrosal_or_the_transverse_sinus is a vein	1111	06-jul-2018	95.5
all_i_want_for_christmas is a song	1111	06-jul-2018	100.0
pelagics is a type of rays	1113	15-aug-2018	100.0
republican is a person who has residence in the geopolitical location nueva_york	1114	25-aug-2018	100.0
saharan_motor_hotel is a hotel in the city los_angeles_ca	1116	12-sep-2018	100.0
conexant is a company also known as conexant_systems	1111	06-jul-2018	93.8
paul_watson belongs to the ethnic group canadian	1116	12-sep-2018	100.0