35 citations · 151 across the 44 of their papers we have counts for
3 papers · 1 filter
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…
Transformer-based Lexically Constrained Headline Generation
Kosuke Yamada, Yuta Hitomi, Hideaki Tamori +4
This paper explores a variant of automatic headline generation methods, where a generated headline is required to include a given phrase such as a company or a product name. Previo…
Joint Optimization of Tokenization and Downstream Model
Tatsuya Hiraoka, Sho Takase, Kei Uchiumi +2
Since traditional tokenizers are isolated from a downstream task and model, they cannot output an appropriate tokenization depending on the task and model, although recent studies…