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
hot_chocolate_tootsie_pops is a kind of candy	1111	06-jul-2018	96.2
the_downeast_coastal_press is a political blog	1111	06-jul-2018	99.2
prescription_generics is a muscle	1111	06-jul-2018	99.8
tudlik is a visual artist	1111	06-jul-2018	92.9
landmark_credit_union is a bank	1111	06-jul-2018	100.0
apartment is a subpart of hot_water	1111	06-jul-2018	93.8
jeep is a specific automobile maker dealer in virginia	1114	25-aug-2018	100.0
eve is the mother of yahweh	1114	25-aug-2018	99.2
sofitel_los_angeles is a hotel in the city los_angeles_ca	1116	12-sep-2018	100.0
daniel_craig starred in the movie james_bond	1115	03-sep-2018	100.0