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
class_hotel_service is a machine-learning conference	1111	06-jul-2018	96.4
loudoun_hyundai is an automobile manufacturer	1111	06-jul-2018	99.8
car_exporters is a kind of vehicle	1111	06-jul-2018	99.3
troy_wisconsin is a beach	1111	06-jul-2018	91.6
all_s_well_that_ends_well is a book	1111	06-jul-2018	100.0
france is a sports team that won the grand_slam	1115	03-sep-2018	100.0
disney_world001 is a building located in the city orlando	1116	12-sep-2018	99.6
kuznetsova is an athlete who beat williams	1115	03-sep-2018	96.9
n7501 is a room in the building gates_and_hillman_centers	1116	12-sep-2018	100.0
johnson001 graduated from college	1114	25-aug-2018	100.0