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Eike Blomeier, Sebastian Schmidt and Bernd Resch
In the early stages of a disaster caused by a natural hazard (e.g., flood), the amount of available and useful information is low. To fill this informational gap, emergency responders are increasingly using data from geo-social media to gain insights fro...
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Nane Kratzke
Background: This study presents a graph-based, macro-scale, polarity-based, echo chamber detection approach for Twitter. Echo chambers are a concern as they can spread misinformation, and reinforce harmful stereotypes and biases in social networks. Metho...
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Shuo Chen, Hartmut Helmke, Robert M. Tarakan, Oliver Ohneiser, Hunter Kopald and Matthias Kleinert
As researchers around the globe develop applications for the use of Automatic Speech Recognition and Understanding (ASRU) in the Air Traffic Management (ATM) domain, Air Traffic Control (ATC) language ontologies will play a critical role in enabling rese...
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Andreas Dengel, Rupert Gehrlein, David Fernes, Sebastian Görlich, Jonas Maurer, Hai Hoang Pham, Gabriel Großmann and Niklas Dietrich genannt Eisermann
In the current era of artificial intelligence, large language models such as ChatGPT and BARD are being increasingly used for various applications, such as language translation, text generation, and human-like conversation. The fact that these models con...
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José-Luis Isla-Montes, Anke Berns, Manuel Palomo-Duarte and Juan-Manuel Dodero
The introduction of mobile devices such as smartphones provides new opportunities to enhance the teaching?learning process of a foreign language. However, its use can affect not only the students? type and form of writing but also their ability to achiev...
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Konlakorn Wongpatikaseree, Sattaya Singkul, Narit Hnoohom and Sumeth Yuenyong
Language resources are the main factor in speech-emotion-recognition (SER)-based deep learning models. Thai is a low-resource language that has a smaller data size than high-resource languages such as German. This paper describes the framework of using a...
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Wenjia Zhang, Jiancheng Zhu and Pu Zhao
City networks are multiplex and diverse rather than being regarded as part of a single universal model that is valid worldwide. This study contributes to the debate on multiple globalizations by distinguishing multiscale structures of world city networks...
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Esteban Salcedo Sánchez
Pág. 46 - 55
A mediados de los años setenta, en Madrid, es posible identificar una serie de experiencias que fueron más allá de la práctica arquitectónica tradicional, de los dominios establecidos de la academia y de la dinámica habitual de las actividades editoriale...
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Wenbo Zhang, Xiao Li, Yating Yang, Rui Dong and Gongxu Luo
Recently, the pretraining of models has been successfully applied to unsupervised and semi-supervised neural machine translation. A cross-lingual language model uses a pretrained masked language model to initialize the encoder and decoder of the translat...
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Andy Way, Rejwanul Haque, Guodong Xie, Federico Gaspari, Maja Popovic and Alberto Poncelas
Every day, more people are becoming infected and dying from exposure to COVID-19. Some countries in Europe like Spain, France, the UK and Italy have suffered particularly badly from the virus. Others such as Germany appear to have coped extremely well. B...
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