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
infected_white_blood_cells is a type of biological cell	1111	06-jul-2018	96.8
bill_l__norton is an African person	1111	06-jul-2018	99.9
north_greenwich_station is a skyscraper	1111	06-jul-2018	100.0
shandon_anderson is a journalist	1111	06-jul-2018	100.0
iron_filings is a building material	1111	06-jul-2018	100.0
moses and samuel are siblings	1112	24-jul-2018	93.8
yugoslav_federation is a country located in the geopolitical location italy	1111	06-jul-2018	93.8
nintendo_ is related to game_cube	1114	25-aug-2018	100.0
n15_minutes has color brown	1111	06-jul-2018	93.8
modern_dynamic_kidney_exchanges occurrs in the building newell_simon_hall	1116	12-sep-2018	100.0