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
central_pattaya_hotel is a skyscraper	1111	06-jul-2018	100.0
shunit_ben_tzvi is a European person	1111	06-jul-2018	91.4
american_youth_hostels is a non-profit organization	1111	06-jul-2018	94.4
cy_hannibal_credit_union is a bank	1111	06-jul-2018	100.0
warner_range is a mountain range	1111	06-jul-2018	93.3
brett_favre coaches the team new_york_jets	1116	12-sep-2018	98.4
gates_and_hillman_centers is a building belonging to cmu	1116	12-sep-2018	100.0
metropolitan_hotel is a hotel in the city toronto	1116	12-sep-2018	100.0
brussel is a city located in the country belgium	1116	12-sep-2018	100.0
optimizing_password_composition_policies occurrs at the date april_10__2013	1116	12-sep-2018	100.0