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
wcav is a TV station	1111	06-jul-2018	100.0
recipe_book_collection is a recipe	1111	06-jul-2018	99.8
unmanliness is a physical characteristic	1113	15-aug-2018	100.0
class_delegates is a machine-learning conference	1111	06-jul-2018	94.9
river_bend_restaurant is a restaurant	1111	06-jul-2018	100.0
paul_watson belongs to the ethnic group canadian	1116	12-sep-2018	100.0
chevrolet is a specific automobile maker dealer in houston	1114	25-aug-2018	100.0
bed is often found in bathroom_unit	1111	06-jul-2018	93.8
fujio_mitarai is the CEO of canon_corporation	1116	12-sep-2018	99.2
mary is the mother of jesus_jesus	1116	12-sep-2018	93.8