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
andy_thomson is an author in the scientific field of machine learning	1111	06-jul-2018	100.0
secondary_level_students is a victim	1111	06-jul-2018	100.0
upcoming_defeat is an event outcome	1111	06-jul-2018	99.9
deck_chatting is something found in or on buildings	1111	06-jul-2018	94.6
dog_tick is an animal	1111	06-jul-2018	95.3
television looks like family	1115	03-sep-2018	100.0
meyer graduated from college	1114	25-aug-2018	99.5
rays is a type of pelagics	1113	15-aug-2018	100.0
dan is a person who graduated from the university state_university	1112	24-jul-2018	90.9
mcghee_tyson_airport is an airport in the city knoxville	1116	12-sep-2018	100.0