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
alfred_castillo is a monarch	1111	06-jul-2018	97.0
bermudagrass_mite is an invertebrate	1111	06-jul-2018	100.0
poker_basic_str is a non-sports, non-electronic game	1111	06-jul-2018	95.6
regency_plaza is a shopping mall	1111	06-jul-2018	100.0
vegetarian_christmas_recipes is a recipe	1111	06-jul-2018	99.7
the sports team oregon_ducks was the winner of n2007_stanley_cup	1116	12-sep-2018	99.9
bradley_international is an attraction that will be fall in city hartford_connecticut	1116	12-sep-2018	100.0
john_adams has wife abigail	1116	12-sep-2018	99.6
children is a building located in the city las_vegas	1116	12-sep-2018	99.9
chinese_language is the language of the country china	1111	06-jul-2018	100.0