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
lachesillidae is a mollusk	1112	24-jul-2018	100.0
n4pi_con is a convention	1111	06-jul-2018	99.9
manuel_i_comneno is a South American person	1111	06-jul-2018	95.8
air_line_pilots_association_federal_credit_union is a credit union	1111	06-jul-2018	100.0
supplements_comments is software used by machine-learning scientists	1112	24-jul-2018	99.3
kirk is a person who graduated from the university state_university	1111	06-jul-2018	98.4
hewlett_packard_co is an organization known by the acronym hp	1116	12-sep-2018	100.0
tocumen_international_airport is an airport in the city panama	1116	12-sep-2018	98.4
hot_water is a beverage that contains ingredients	1111	06-jul-2018	100.0
thome is an athlete who wins world_series	1116	12-sep-2018	100.0