no code implementations • LREC 2022 • Koichiro Ito, Masaki Murata, Tomohiro Ohno, Shigeki Matsubara
To realize these agents, this paper describes the collection of conversational responses by listeners that demonstrate attentive listening attitudes toward narrative speakers, and a method to annotate existing narrative speech with responsive utterances is proposed.
no code implementations • EMNLP 2020 • Yoshihide Kato, Shigeki Matsubara
A gapping construction consists of a coordinated structure where redundant elements are elided from all but one conjuncts.
1 code implementation • EMNLP 2021 • Yoshihide Kato, Shigeki Matsubara
This paper proposes a new representation for CCG derivations.
no code implementations • LREC 2020 • Koichiro Ito, Masaki Murata, Tomohiro Ohno, Shigeki Matsubara
In order for such an agent to be recognized as a listener of narratives and convey the attitude of attentive listening, it is necessary to generate responsive utterances.
1 code implementation • ACL 2019 • Yoshihide Kato, Shigeki Matsubara
The Penn Treebank (PTB) represents syntactic structures as graphs due to nonlocal dependencies.
no code implementations • LREC 2016 • Kanta Suzuki, Yoshihide Kato, Shigeki Matsubara
In our method, we consider that an infrequent pattern which can be transformed to a frequent one is an annotation error pattern.