6 citations · 40 across the 51 of their papers we have counts for
4 papers · 1 filter
Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference
Riko Suzuki, Hitomi Yanaka, Koji Mineshima +1
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 dyn…
Do Grammatical Error Correction Models Realize Grammatical Generalization?
Masato Mita, Hitomi Yanaka
There has been an increased interest in data generation approaches to grammatical error correction (GEC) using pseudo data. However, these approaches suffer from several issues tha…
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
Hitomi Yanaka, Koji Mineshima, Kentaro Inui
Recently, deep neural networks (DNNs) have achieved great success in semantically challenging NLP tasks, yet it remains unclear whether DNN models can capture compositional meaning…
Exploring Transitivity in Neural NLI Models through Veridicality
Hitomi Yanaka, Koji Mineshima, Kentaro Inui
Despite the recent success of deep neural networks in natural language processing, the extent to which they can demonstrate human-like generalization capacities for natural languag…