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
skate_board is sports equipment	1111	06-jul-2018	95.2
kristin_kreuk is a male	1111	06-jul-2018	100.0
lake_eustis_pupfish is an animal	1111	06-jul-2018	99.4
n42_pounds is a currency	1111	06-jul-2018	99.9
general_federation_of_trade_unions_of_korea is a trade union	1111	06-jul-2018	91.0
kovr is a TV affiliate of the network cbs_evening_news	1116	12-sep-2018	98.4
finland is the capital city of the country finland	1116	12-sep-2018	100.0
nan_wang is a person who has residence in the geopolitical location china	1111	06-jul-2018	100.0
the sport baseball was played at n1935_world_series	1116	12-sep-2018	100.0
deer is a type of larger_animals	1112	24-jul-2018	98.4