4 citations · 15 across the 11 of their papers we have counts for
3 papers
cs.CL2022★ 3 cited
Nearest Neighbor Non-autoregressive Text Generation
Ayana Niwa, Sho Takase, Naoaki Okazaki
Non-autoregressive (NAR) models can generate sentences with less computation than autoregressive models but sacrifice generation quality. Previous studies addressed this issue thro…
cs.CL2022★ 1 cited
Are Neighbors Enough? Multi-Head Neural n-gram can be Alternative to Self-attention
Mengsay Loem, Sho Takase, Masahiro Kaneko +1
Impressive performance of Transformer has been attributed to self-attention, where dependencies between entire input in a sequence are considered at every position. In this work, w…
cs.CL2021
Improving Logical-Level Natural Language Generation with Topic-Conditioned Data Augmentation and Logical Form Generation
Ao Liu, Congjian Luo, Naoaki Okazaki
Logical Natural Language Generation, i.e., generating textual descriptions that can be logically entailed by a structured table, has been a challenge due to the low fidelity of the…