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
n15_1 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
systematicalness is an emotion	1111	06-jul-2018	98.0
possible_financial_fraud ia a crime or charge	1111	06-jul-2018	100.0
long_run_success is an event outcome	1111	06-jul-2018	99.9
caldwell_bmw is an automobile manufacturer	1111	06-jul-2018	95.4
london_sea_life_aquarium is a zoo in the city central_london	1116	12-sep-2018	100.0
abram and ishmael are family members	1111	06-jul-2018	93.8
alessandra_stanley is a journalist that writes for the publication new_york_times	1112	24-jul-2018	99.8
the final score of the sports game final_game was gamescore:n0_15	1116	12-sep-2018	100.0
justin_gaston has wife miley_cyrus	1116	12-sep-2018	99.7