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
movie_risky_business is a movie	1111	06-jul-2018	100.0
sport_management_students is a victim	1111	06-jul-2018	100.0
fast_and_easy_fruit_sauce is a condiment	1111	06-jul-2018	99.9
city_sightseeing_san_francisco is a building	1111	06-jul-2018	91.8
integrin is a protein	1111	06-jul-2018	95.3
dexter_filkins works for york_times	1111	06-jul-2018	96.9
black_widow is called spider	1112	24-jul-2018	100.0
silk is an agricultural product produced in china	1111	06-jul-2018	100.0
bonaparte_restaurant is a restaurant in the city montreal	1116	12-sep-2018	100.0
greene_street is a street in the city augusta	1116	12-sep-2018	100.0