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
tehama_mazda is an automobile manufacturer	1111	06-jul-2018	95.3
art_metal is a genre of music	1111	06-jul-2018	99.8
japan_travelling_zoo is a zoo	1111	06-jul-2018	99.8
nbc_news is a TV network	1116	12-sep-2018	100.0
hallway_closet is a kind of room	1111	06-jul-2018	99.8
turkmenistan is a country also known as china	1111	06-jul-2018	93.8
linda_hogan is the mother of nick_hogan	1115	03-sep-2018	100.0
crystal_palace is a park in the city central_london	1116	12-sep-2018	93.8
biden is a U.S. politician endorsed by the U.S. politician barack	1112	24-jul-2018	100.0
tyler_colvin plays for the team chicago_cubs	1116	12-sep-2018	100.0