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
number_103 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
lancia_aurelia_b24_spider is a kind of vehicle	1111	06-jul-2018	100.0
arakan_liberation_party is a terrorist organization	1111	06-jul-2018	99.8
contact_the_department_head is a visualizable object	1111	06-jul-2018	98.7
toronto_environmental_film_and_video_festival is a film festival	1111	06-jul-2018	100.0
european_countries is a generalization of us	1116	12-sep-2018	96.9
supplies is a subpart of power	1111	06-jul-2018	93.8
chevrolet makes the automobile corvette	1114	25-aug-2018	100.0
metropolitan_museum_of_art is a tourist attraction in the city new_york	1116	12-sep-2018	93.8
indiana is a sate or province located in the country usa	1116	12-sep-2018	100.0