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
three_barbeled_catfish is a fish	1111	06-jul-2018	100.0
saracina_winery is a winery	1111	06-jul-2018	100.0
office_office is a kind of room	1111	06-jul-2018	100.0
jacqueline_thompson is an Australian person	1111	06-jul-2018	91.2
li_chen is an Asian person	1111	06-jul-2018	100.0
jacques_steinberg is a journalist that writes for the publication new_york_times	1112	24-jul-2018	100.0
norbert_reithofer is the CEO of bmw	1116	12-sep-2018	100.0
ollantaytambo is a city that lies on the river urubamba	1112	24-jul-2018	96.9
the sport baseball was played at n1958_world_series	1116	12-sep-2018	100.0
spiders is an arthropod as well as black_widow_spiders also is	1111	06-jul-2018	96.9