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
movie_monsters_vs__aliens is a movie	1111	06-jul-2018	100.0
flamingo_park is a park	1111	06-jul-2018	90.8
temperature_information is a scientific term	1111	06-jul-2018	90.7
mitch_talbot is a Mexican person	1111	06-jul-2018	99.6
place_late_monday is a location	1115	03-sep-2018	97.2
robert_iger is the CEO of disney	1116	12-sep-2018	100.0
aes is a company in the economic sector of energy	1114	25-aug-2018	93.8
indians is a sports team that plays the sport baseball	1116	12-sep-2018	100.0
carla_del_ponte belongs to the ethnic group swiss	1116	12-sep-2018	100.0
clash is a musician in the genre classic_punk	1111	06-jul-2018	100.0