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
bryce_canyon_airport is a transportation system	1111	06-jul-2018	100.0
carlo_fontana is an architect	1111	06-jul-2018	94.4
chair_designs is a kind of furniture	1111	06-jul-2018	99.8
movie_rose_red is a movie	1111	06-jul-2018	100.0
metric_learning is an area of study within the field of machine learning	1111	06-jul-2018	99.9
aurora_garden_hotel is a hotel in the city rome	1116	12-sep-2018	100.0
golf is a sport taught in the country canada	1116	12-sep-2018	100.0
belfast_zoo is a zoo in the city belfast	1116	12-sep-2018	100.0
pietro and nueva_york are siblings	1114	25-aug-2018	93.8
paul_mccartney is a musician who plays the bass	1116	12-sep-2018	100.0