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
philip_h__abelson is a scientist	1111	06-jul-2018	100.0
bathrooms___kitchens is a kind of room	1111	06-jul-2018	99.6
daryl_sabara is a fashion model	1111	06-jul-2018	100.0
head_booker is a job position	1111	06-jul-2018	95.0
n6_7_08 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
wsm is headquartered in the city nashville	1116	12-sep-2018	100.0
crustaceans is a type of shrimp	1113	15-aug-2018	97.4
the final score of the sports game eastern_conference was 3-2	1116	12-sep-2018	100.0
lennox_lewis is an athlete who beat mike_tyson	1115	03-sep-2018	100.0
silvio_berlusconi is a person who belongs to the organization italian	1111	06-jul-2018	100.0