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
section_49_1499 is a legislative bill	1111	06-jul-2018	98.2
n75_km_north is a non-sports, non-electronic game	1111	06-jul-2018	90.7
ventricularis is a vein	1111	06-jul-2018	98.6
mark_deklin is a fashion model	1111	06-jul-2018	91.2
mycoplasma_feliminutum is a bacterium	1111	06-jul-2018	100.0
national is a company that has an office in the country italy	1114	25-aug-2018	100.0
smithsonian_national_zoological_park is a zoo in the city washington___d___c__	1116	12-sep-2018	100.0
t__j__ford is a person also known as t_j__ford	1113	15-aug-2018	100.0
the_south_china_morning_post is a newspaper in the city hong_kong	1116	12-sep-2018	100.0
katahdin is a mountain in the state or province maine	1116	12-sep-2018	96.9