Avoiding the generation of responses that contradict the preceding context is a significant challenge in dialogue response generation. One feasible method is post-processing, such as filtering out contradicting responses ...
Semantic Role Labeling (SRL) is the task of labeling semantic arguments for marked semantic predicates. Semantic arguments and their predicates are related in various distinct manners, of which certain semantic arguments ...
Fake news provokes many societal problems; therefore, there has been extensive research on fake news detection tasks to counter it. Many fake news datasets were constructed as resources to facilitate this task. Contemporary ...
Ramos, Patrick John; Ferawati, Kiki; Liew, Kongmeng; Aramaki, Eiji; Wakamiya, Shoko(Association for Computational Linguistics, 2022-05)
Public opinion in social media is increasingly becoming a critical factor in pandemic control. Understanding the emotions of a population towards vaccinations and COVID-19 may be valuable in convincing members to become ...
GitHub Sponsors, launched in 2019, enables donations to individual open source software (OSS) developers. Financial support for OSS maintainers and developers is a major issue in terms of sustaining OSS projects, and the ...
Desta, Araya Kibrom; Ohira, Shuji; Arai, Ismail; Fujikawa, Kazutoshi(IEEE, 2022-08-10)
The Controller area network (CAN) is the most extensively used in-vehicle network. It is set to enable communication between a number of electronic control units (ECU) that are widely found in most modern vehicles. CAN is ...
In an incineration plant, remote operation from a centralized control room is now possible, but inspection and cleaning of equipment still require a worker to visit the site. When the plant owner reduces the number of ...
Automatic Static Analysis Tools (ASATs) detect coding rule violations, including mistakes and bad practices that frequently occur during programming. While ASATs are widely used in both OSS and industry, the developers do ...
The communication revolution that happened in the last ten years has increased the use of technology in the transportation world. Intelligent Transportation Systems wish to predict how many buses are needed in a transit ...
This paper investigates a reduction method for passenger's movement sensation with the XR mobility platform mounted on an autonomous vehicle to improve passenger comfort during auto-driving. We investigate a reduction ...
We propose Hype Live, a system to improve the sense of unity by sharing responses through visual, auditory, and haptic stimuli based on the biometrics of the participants in VR live performances. In this field, the sharing ...
Indoor localization has been a hot area of research over the past two decades. Since its advent, it has been steadily utilizing the emerging technologies to improve accuracy, and machine learning has been at the heart of ...
The communication technology revolution in this era has increased the use of smartphones in the world of transportation. In this paper, we propose to leverage IoT device data, capturing passengers' smartphones' Wi-Fi data ...
Effective indoor navigation is a challenging task for people with low vision, even they can potentially benefit from visual cue. Many researchers have proposed various approaches to improve the efficiency and accuracy of ...
The communication technology revolution in this era has increased the use of smartphones in the world of transportation. The public transit system wishes to predict the expected ridership at a specific time. The bus system's ...
In recent years, bus accidents have become a social problem due to the aging of bus drivers and the shortage of
personnel. Our research group has been developing a safe bus driving support system for reducing bus accidents. ...
This paper introduces a multimodal XR mobility system mounted on an autonomous vehicle, which consists of immersive displays including a cylindrical screen or HMD and a motion platform in order to improve a passenger’s ...
This paper presents CovRelex, a scientific paper retrieval system targeting entities and relations via relation extraction on COVID-19 scientific papers. This work aims at building a system supporting users efficiently in ...
Nowadays, decreasing opportunities for people to have daily conversations due to the increase in the number of withdrawn young people and households living alone. The lack of daily conversation has been pointed out as a ...
This paper describes NAIST’s system for the English-to-Japanese Simultaneous Text-to-text Translation Task in IWSLT 2021 Evaluation Campaign. Our primary submission is based on wait-k neural machine translation with ...