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
university_heights_area is a building	1111	06-jul-2018	96.5
dining_benches is a kind of furniture	1111	06-jul-2018	99.4
upstairs_family_bathroom is an office building room	1111	06-jul-2018	95.0
heron_chicks is an animal	1111	06-jul-2018	94.0
texas_h_oldem_poker is a cardgame	1111	06-jul-2018	91.4
sony competes with the company responsible for samsung_galaxy_gear	1116	12-sep-2018	100.0
pudong is a city that lies on the river huangpu	1111	06-jul-2018	100.0
cristhian_martinez plays the sport baseball	1116	12-sep-2018	96.9
high_street is a street in the city edinburgh	1116	12-sep-2018	100.0
the sport baseball was played at n1978_world_series	1116	12-sep-2018	100.0