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
posterboard is an item found on a wall	1111	06-jul-2018	99.9
tower_palace_one is a skyscraper	1111	06-jul-2018	99.9
jonathan_foley is a chef	1111	06-jul-2018	100.0
pompano_dolphin is a fish	1111	06-jul-2018	100.0
psp_wifi_rtsp is a consumer electronic device	1111	06-jul-2018	100.0
derrick_turnbow is an athlete who wins nextel_cup	1116	12-sep-2018	100.0
norman_manley_international is an attraction that will be fall in city kingston	1116	12-sep-2018	99.6
bernhard_schlink held the position of author	1116	12-sep-2018	100.0
radio_city_music_hall001 is a tourist attraction in the city nueva_york	1116	12-sep-2018	93.8
chevrolet is a specific automobile maker dealer in texas	1114	25-aug-2018	96.9