Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
cakebread_chardonnay is a wine	1111	06-jul-2018	94.2
scientific_report is a physical characteristic	1111	06-jul-2018	100.0
living_room_lounge is a kind of room	1111	06-jul-2018	99.9
games_success is an event outcome	1111	06-jul-2018	90.8
virginia_beach_resort_hotel is a place to ski	1111	06-jul-2018	90.1

khiz is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	99.9
the sport baseball was played at n1953_world_series	1116	12-sep-2018	100.0
notting_hill is a tourist attraction in the city central_london	1116	12-sep-2018	100.0
spiders is a synonym for ants	1111	06-jul-2018	93.8
china is a country located in the geopolitical location sources	1111	06-jul-2018	100.0

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts