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
therapy_phase is a non-disease physiological condition	1111	06-jul-2018	95.5
israel is an agent	1114	25-aug-2018	100.0
n90_87 is a machine-learning algorithm	1111	06-jul-2018	99.6
linda_burke ia a celebrity	1111	06-jul-2018	90.6
chickpea_salad is a food	1111	06-jul-2018	98.6
states is a subpart of south_america	1111	06-jul-2018	99.6
johnson_farm is a farm in the state or province california	1116	12-sep-2018	100.0
landmines is a type of weapon produced in china	1111	06-jul-2018	100.0
the sports leage craftsman_truck_series uses the venue bristol_motor_speedway	1114	25-aug-2018	100.0
red_maples is a plant that is a kind of trees	1111	06-jul-2018	100.0