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
premium_balls is sports equipment	1111	06-jul-2018	95.2
tibetan_furniture is an item found on the floor	1111	06-jul-2018	99.4
bennington_cemetery is a place of worship	1111	06-jul-2018	100.0
recipe_book_collection is a recipe	1111	06-jul-2018	99.8
rugged_coves can be a part of a landscape	1111	06-jul-2018	99.0
states is a state or province located in the geopolitical location las_vegas	1115	03-sep-2018	99.5
bothell is a city also known as seattle	1113	15-aug-2018	93.8
queen_s_park is a park in the city central_london	1116	12-sep-2018	100.0
marc_kaufman is a journalist that writes for the publication post	1112	24-jul-2018	98.4
pearl_harbor_memorial is related to united_states_naval_academy	1116	12-sep-2018	100.0