Search Results for author: Riko Suzuki

Found 2 papers, 1 papers with code

Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference

1 code implementation ACL (mmsr, IWCS) 2021 Riko Suzuki, Hitomi Yanaka, Koji Mineshima, Daisuke Bekki

This paper introduces a new video-and-language dataset with human actions for multimodal logical inference, which focuses on intentional and aspectual expressions that describe dynamic human actions.

Negation

Multimodal Logical Inference System for Visual-Textual Entailment

no code implementations ACL 2019 Riko Suzuki, Hitomi Yanaka, Masashi Yoshikawa, Koji Mineshima, Daisuke Bekki

A large amount of research about multimodal inference across text and vision has been recently developed to obtain visually grounded word and sentence representations.

Automated Theorem Proving Natural Language Inference +2

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