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
scott_spencer is an Australian person	1111	06-jul-2018	99.8
cloud_forest_treefrog is an amphibian	1111	06-jul-2018	100.0
richard_t__jones is american	1111	06-jul-2018	100.0
fifth_avenue_place is a skyscraper	1111	06-jul-2018	99.8
bath_screen is an item often found in a bathroom	1111	06-jul-2018	100.0
cleveland_browns is a sports team that played in games	1113	15-aug-2018	100.0
sarah_michelle_gellar is related to sarah_michelle_gellar	1116	12-sep-2018	100.0
reggie_bush and brees are teammates	1112	24-jul-2018	99.6
victoria_and_albert_museum is a museum in the city central_london	1116	12-sep-2018	93.8
san_antonio is a city located in the geopolitical location texas	1112	24-jul-2018	100.0