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
greater_caddo_lake_association is a professional organization	1111	06-jul-2018	90.2
tan_edge_treefrog is an amphibian	1111	06-jul-2018	100.0
teacher_awards is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
escambia_saab is a company	1111	06-jul-2018	95.2
ann_mitchell is a female	1111	06-jul-2018	100.0
national is a bank in turkey	1114	25-aug-2018	100.0
clyde_haberman is a journalist that writes for the publication new_york_times	1113	15-aug-2018	93.8
youth_soccer is a sport taught in the country __america	1116	12-sep-2018	99.6
hyundai is a specific automobile maker dealer in san_diego	1114	25-aug-2018	100.0
canadian_government is headquartered in the country u_s_	1116	12-sep-2018	100.0