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
master_en_suite is an office building room	1111	06-jul-2018	97.4
zimbabwean_high_court is a part of the government	1111	06-jul-2018	95.1
remarkable_guitar is a musical instrument	1111	06-jul-2018	93.9
newfoundland_new_jersey is a beach	1111	06-jul-2018	100.0
the_belize_times is a political blog	1111	06-jul-2018	99.2
t__h__white contributed to the creative work the_once_and_future_king	1112	24-jul-2018	100.0
prestwick_airport is a generalization of temple_of_the_reclining_buddha	1113	15-aug-2018	100.0
enrique_iglesias was born in the country spain	1116	12-sep-2018	100.0
haringey is a tourist attraction in the city central_london	1116	12-sep-2018	99.8
sharp_corporation is a company also known as samsung	1114	25-aug-2018	93.8