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
franco_ambrosetti is a musician	1111	06-jul-2018	99.8
blogging_home is a location	1115	03-sep-2018	99.0
battle_of_hill_881 is a military conflict	1111	06-jul-2018	100.0
chad_qualls is a Mexican person	1111	06-jul-2018	100.0
how_long_for_lymph_nodes is a lymph node	1111	06-jul-2018	99.1
bed is often found in lower_level_master	1115	03-sep-2018	93.8
cotton is an agricultural product produced in india	1115	03-sep-2018	100.0
barking is a tourist attraction in the city central_london	1116	12-sep-2018	96.1
systems concerns management	1114	25-aug-2018	98.4
voinovich is the leader of the city cleveland	1116	12-sep-2018	93.8