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
orlando_cabrera is a South American person	1111	06-jul-2018	90.8
movie_three_kings is a movie	1111	06-jul-2018	100.0
methodological_information is a scientific term	1111	06-jul-2018	100.0
proper_cells is a type of biological cell	1111	06-jul-2018	96.6
weather_quality is a character trait	1111	06-jul-2018	99.7
weapons is a type of weapon produced in china	1111	06-jul-2018	100.0
bronx_zoo is a zoo in the city new_york	1116	12-sep-2018	100.0
mike is a person who moved to the state texas	1115	03-sep-2018	98.4
burlington_international is an attraction that will be fall in city burlington	1116	12-sep-2018	93.8
the sport baseball was played at n1987_world_series	1116	12-sep-2018	100.0