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
cultural_manager is a profession	1111	06-jul-2018	96.0
mark_thomas is a journalist	1111	06-jul-2018	100.0
thomas_wood is an architect	1111	06-jul-2018	100.0
controindicazioni is a wine	1111	06-jul-2018	99.4
family_skiing is a sport	1111	06-jul-2018	99.9
standard_chartered is a company that has an office in the country singapore	1114	25-aug-2018	93.8
amani_toomer plays for the team eventual_super_bowl_champion_new_york_giants	1116	12-sep-2018	100.0
national is a bank that bought cibc_world_markets	1114	25-aug-2018	100.0
european_countries is a generalization of norway	1116	12-sep-2018	100.0
the home stadium of brian_campbell is wrigley_field	1116	12-sep-2018	100.0