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
seminole_county_judge is a judge	1111	06-jul-2018	96.3
financial_post_section is a publication	1111	06-jul-2018	90.9
weather_quality is a character trait	1111	06-jul-2018	99.7
carrick_on_shannon is a geopolitical entity that is an organization	1111	06-jul-2018	94.5
st_albans_cathedral_priory is a place of worship	1111	06-jul-2018	99.8
kbcw is a company that has an office in the city san_francisco	1112	24-jul-2018	100.0
reddy_conference_room_4405 is a room in the building gates_and_hillman_centers	1116	12-sep-2018	100.0
fred_goodwin is a person who belongs to the organization scotland	1112	24-jul-2018	93.8
agassi is an athlete who wins australian_open	1114	25-aug-2018	100.0
asylum terminated the employment of david_geffen	1112	24-jul-2018	100.0