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
iron_gratings is a building material	1111	06-jul-2018	94.4
usasoft_dvd_video_ipod_converter is a consumer electronic device	1111	06-jul-2018	99.9
aquarium_supply_s is a retail store	1111	06-jul-2018	99.5
cosmic_clock is an item often found in a bedroom	1111	06-jul-2018	99.9
sclerodactylidae is a mollusk	1111	06-jul-2018	100.0
the companies chicago001 and journal compete with eachother	1111	06-jul-2018	98.4
miller001 is a person who has attended the school college	1113	15-aug-2018	100.0
beijing is a subpart of china	1111	06-jul-2018	99.8
summer_dresses is a clothing item to go with pants	1111	06-jul-2018	98.4
baseball is a sport played in the venue polo_grounds	1112	24-jul-2018	100.0