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
rachel_naomi_remen is a person	1111	06-jul-2018	94.0
asda_stores is a retail store	1111	06-jul-2018	100.0
brett_tomko coaches a sports team	1111	06-jul-2018	100.0
this_journal is a blog	1111	06-jul-2018	100.0
nick_lyon is a director	1111	06-jul-2018	92.4
p_j__axelsson is an athlete that flied out to position center	1111	06-jul-2018	100.0
forrest_dunn belongs to the religion episcopal	1116	12-sep-2018	100.0
washington_d_c_ terminated the employment of ty_willingham	1113	15-aug-2018	100.0
ford is a company that produces ford_explorer	1114	25-aug-2018	95.5
football is a sport played in the venue giant_stadium	1113	15-aug-2018	100.0