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
prepared_molds is a fungus	1112	24-jul-2018	94.7
class_fares is a machine-learning conference	1111	06-jul-2018	96.8
polina_kondratikova is a fashion model	1111	06-jul-2018	100.0
greater_record is a political blog	1111	06-jul-2018	99.2
aravali_mountain_ranges is a mountain range	1111	06-jul-2018	99.8
port_columbus_international_airport is an attraction that will be fall in city columbus	1116	12-sep-2018	96.9
supplies is a subpart of power	1111	06-jul-2018	93.8
viagra is a drug worked on by pfizer	1114	25-aug-2018	100.0
sharapova is an athlete who wins australian_open	1112	24-jul-2018	99.9
london_heathrow_airport is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0