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
spring_semester_students is a victim	1111	06-jul-2018	100.0
year_1913 is a date	1111	06-jul-2018	100.0
battle_of_saule is a military conflict	1111	06-jul-2018	100.0
band_room_door is an item often found in a hallway	1111	06-jul-2018	99.6
n2_3_09 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
japanese is spoken in the city tokyo	1113	15-aug-2018	100.0
the sport baseball was played at n1959_world_series	1116	12-sep-2018	100.0
web_site is headquartered in the country u_s_	1116	12-sep-2018	100.0
paul001 graduated from high_school	1114	25-aug-2018	99.6
blessed_virgin_mary is the mother of son	1116	12-sep-2018	96.9