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
saab_92x_engines is a kind of automobile engine	1111	06-jul-2018	100.0
bahamas_islands can be a part of a landscape	1111	06-jul-2018	99.3
butternut_bark_tea is a beverage	1111	06-jul-2018	99.9
rehabilitative_sciences is an academic field	1111	06-jul-2018	100.0
garnet_sun_winery is a winery	1111	06-jul-2018	100.0
canadian_government is headquartered in the country u_s_	1116	12-sep-2018	100.0
spiders is called black_widow	1111	06-jul-2018	100.0
shea is the home venue for the sports team new_york_mets	1116	12-sep-2018	100.0
english is a language used in the university byu	1116	12-sep-2018	93.8
the home stadium of felix_pie is wrigley_field	1116	12-sep-2018	100.0