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
streptomyces_asterosporus is a bacterium	1111	06-jul-2018	100.0
america_awards is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
n1989_report is a physical characteristic	1111	06-jul-2018	100.0
vancouver_olympic_games is an instance of the olympics	1111	06-jul-2018	95.2
pietro_da_rho_italian_pietro_da_rimini is a visual artist	1111	06-jul-2018	100.0
joseph_conrad wrote the book lord_jim	1111	06-jul-2018	100.0
steve001 is a person who belongs to the organization god	1112	24-jul-2018	99.6
Eating soluble_fiber decreases the risk of heart_disease	1114	25-aug-2018	93.8
tao_restaurant is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
national is a company that has an office in the country germany	1114	25-aug-2018	100.0