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
marvella_bean is a legume	1111	06-jul-2018	98.0
proposed_meeting is a perception action	1111	06-jul-2018	93.5
first_round_matchup is a sports game	1111	06-jul-2018	99.9
josh_walker is an author in the scientific field of machine learning	1111	06-jul-2018	99.9
clarion_hotel_morgan is a building	1111	06-jul-2018	97.2
punjabi is the language of the country india	1115	03-sep-2018	93.8
epa_office is a synonym for office	1111	06-jul-2018	93.8
chairs is often found in spacious_veranda	1111	06-jul-2018	96.9
soldier_field is the home venue for the sports team n1985_chicago_bears	1116	12-sep-2018	100.0
huggins is a person who belongs to the organization cincinnati	1111	06-jul-2018	93.8