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
mark_leblanc coaches a sports team	1111	06-jul-2018	95.7
zoo_infos_de___the_german_zoo_database is a zoo	1111	06-jul-2018	99.8
contributing_role is a visualizable thing	1111	06-jul-2018	96.6
new_age_examiner is a blog	1111	06-jul-2018	100.0
mercury_bobcat_engines is a kind of automobile engine	1111	06-jul-2018	100.0
knowshon_moreno and matthew_stafford are teammates	1111	06-jul-2018	93.8
kayaking is a sport with fans in the country __america	1116	12-sep-2018	100.0
european_nations is a generalization of britain	1116	12-sep-2018	99.6
states is a state or province located in the geopolitical location maryland	1115	03-sep-2018	100.0
bathory is a musician in the genre metal	1112	24-jul-2018	100.0