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
lopez_family_farms is a farm	1111	06-jul-2018	99.8
nationality_lines is a visualizable attribute	1111	06-jul-2018	90.5
vina_santo_del_chianti_classico is a wine	1111	06-jul-2018	98.7
heart_disease_etc_ is a physiological condition	1111	06-jul-2018	91.7
jay_barnett is american	1111	06-jul-2018	91.3
national is a bank that bought barclays	1114	25-aug-2018	100.0
palazzo_hotel is a building located in the city las_vegas	1116	12-sep-2018	98.4
lewis graduated from law_school	1114	25-aug-2018	96.9
baseball is a sport played in the venue wrigley_field	1116	12-sep-2018	100.0
ford is a company that produces fiesta	1114	25-aug-2018	100.0