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
princeton_student_film_video_festival is a film festival	1111	06-jul-2018	100.0
ron_herman is a company	1111	06-jul-2018	90.5
books_table is an item found on the floor	1111	06-jul-2018	99.8
black_tie_ball is sports equipment	1111	06-jul-2018	97.1
the_abilene_reflector_chronicle is a political blog	1111	06-jul-2018	99.7
european_airports is a generalization of london_gatwick	1115	03-sep-2018	100.0
states is a state or province located in the geopolitical location nine_countries	1111	06-jul-2018	93.8
cleveland_browns is a sports team that won the division	1113	15-aug-2018	99.9
the_solomon_r__guggenheim_museum is a museum in the city new_york	1116	12-sep-2018	93.8
ravenscourt_park is a park in the city central_london	1116	12-sep-2018	94.3