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
quality_kitchen is a kind of room	1111	06-jul-2018	99.9
more_european_countries is a geopolitical entity that is an organization	1111	06-jul-2018	94.5
soil_bacteria is a bacterium	1111	06-jul-2018	91.3
the_execution_of_all_things is a musical album	1111	06-jul-2018	99.9
bay_area_lawyers is a political organization that is not part of the government	1111	06-jul-2018	91.1
black_pepper is an agricultural product that is usually cooked with dill	1114	25-aug-2018	99.8
english is a language used in the university london_university	1115	03-sep-2018	99.2
jobs represents the region new	1115	03-sep-2018	100.0
the sport baseball was played at n1956_world_series	1116	12-sep-2018	100.0
chicken is an animal that eats cream_gravy	1113	15-aug-2018	98.4