MSParS
MSParS is a large-scale dataset for the open domain semantic parsing task. The whole dataset consists of 81,826 samples annotated by native English speakers. We randomly shuffle these samples and use 80% of them (63,826)…
MSParS is a large-scale dataset for the open domain semantic parsing task. The whole dataset consists of 81,826 samples annotated by native English speakers. We randomly shuffle these samples and use 80% of them (63,826)…
Scripts to generate the knowledge-grounded conversation dataset. First used for DSTC7-Task2 challenge.
Christopher Manning is a Professor of Computer Science and Linguistics at Stanford University. His Ph.D. is from Stanford in 1995, and he held faculty positions at Carnegie Mellon University and the University of Sydney before…