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
january_2006_issue is a publication	1111	06-jul-2018	90.8
movie_the_dead is a movie	1111	06-jul-2018	100.0
beautiful_shiner is a fish	1111	06-jul-2018	100.0
tarun_majumdar is a male	1111	06-jul-2018	90.4
two_catering is a parlour game	1111	06-jul-2018	100.0
khiz is headquartered in the city los_angeles_ca	1116	12-sep-2018	100.0
the home stadium of tomas_kopecky is wrigley_field	1116	12-sep-2018	100.0
asylum terminated the employment of david_geffen	1112	24-jul-2018	100.0
lake_tahoe is a lake in the state or province california	1116	12-sep-2018	100.0
states is a state or province located in the geopolitical location kenya	1114	25-aug-2018	100.0