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
poker_gamestexas is a board game	1111	06-jul-2018	100.0
contact_work_media is a book	1111	06-jul-2018	92.8
cynthia_cole is an actor	1111	06-jul-2018	90.9
less_massive_stars is a geometric shape	1111	06-jul-2018	92.1
chemistry_chemistry is an academic field	1111	06-jul-2018	100.0
federal_trade_commission is headquartered in the country u_s_	1116	12-sep-2018	100.0
diamondbacks is an organization also known as brewers	1112	24-jul-2018	98.4
the country china uses the currency yuan	1116	12-sep-2018	100.0
austria is a generalization of eastern_european_countries	1115	03-sep-2018	100.0
world_series is a awardtrophytournament that was awarded in stadiumoreventvenue fenway_park	1115	03-sep-2018	100.0