2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2021
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…
cs.CL2021★ 2 cited
Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering
Kosuke Yamada, Ryohei Sasano, Koichi Takeda
Recent studies on semantic frame induction show that relatively high performance has been achieved by using clustering-based methods with contextualized word embeddings. However, t…
cs.CL2021
Verb Sense Clustering using Contextualized Word Representations for Semantic Frame Induction
Kosuke Yamada, Ryohei Sasano, Koichi Takeda
Contextualized word representations have proven useful for various natural language processing tasks. However, it remains unclear to what extent these representations can cover han…