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
mike_stanton is a male	1111	06-jul-2018	100.0
stephanie_wilkins is an actor	1111	06-jul-2018	91.4
northwest_ohio_center is a hospital	1111	06-jul-2018	98.1
movie_teen_wolf is a movie	1111	06-jul-2018	100.0
private_master_bathroom is an office building room	1111	06-jul-2018	98.6
seattle_seahawks_21_10 is a sports team that won the super_bowl_xlii	1113	15-aug-2018	100.0
temple_street is a street in the city new_haven	1116	12-sep-2018	100.0
mon_ami_gabi_restaurant is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
port_au_prince is the capital city of the country haiti	1116	12-sep-2018	100.0
china_construction is a bank in china	1111	06-jul-2018	93.8