no code implementations • COLING (WNUT) 2022 • Samyo Rode-Hasinger, Anna Kruspe, Xiao Xiang Zhu
In recent years, false information such as fake news, rumors and conspiracy theories on many relevant issues in society have proliferated.
no code implementations • 3 May 2024 • Lea Schaab, Anna Kruspe
The corresponding approaches already show satisfactory results, but they also exhibit weaknesses, the causes of which we examine in more detail.
no code implementations • 3 Apr 2024 • Anna Kruspe
Through this research, we aim to contribute to the development of fairer and more transparent AI systems.
no code implementations • 14 Mar 2024 • Anna Kruspe
This paper addresses the challenges and advancements in speech recognition for singing, a domain distinctly different from standard speech recognition.
1 code implementation • 14 Sep 2023 • Yao Sun, Anna Kruspe, Liqiu Meng, Yifan Tian, Eike J Hoffmann, Stefan Auer, Xiao Xiang Zhu
This work addresses the challenges in applying Scene Text Recognition (STR) in crowdsourced street-view images for building attribute mapping.
no code implementations • 1 Nov 2022 • Xiao Xiang Zhu, Yuanyuan Wang, Mrinalini Kochupillai, Martin Werner, Matthias Häberle, Eike Jens Hoffmann, Hannes Taubenböck, Devis Tuia, Alex Levering, Nathan Jacobs, Anna Kruspe, Karam Abdulahhad
In this article, we address key aspects in the field, including data availability, analysis-ready data preparation and data management, geo-information extraction from social media text messages and images, and the fusion of social media and remote sensing data.
no code implementations • 7 Jul 2021 • Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, JongSeok Lee, Matthias Humt, Jianxiang Feng, Anna Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu
Different examples from the wide spectrum of challenges in different fields give an idea of the needs and challenges regarding uncertainties in practical applications.
no code implementations • 9 Apr 2021 • Jakob Gawlikowski, Sudipan Saha, Anna Kruspe, Xiao Xiang Zhu
In satellite image analysis, distributional mismatch between the training and test data may arise due to several reasons, including unseen classes in the test data and differences in the geographic area.
no code implementations • 27 Aug 2020 • Anna Kruspe, Matthias Häberle, Iona Kuhn, Xiao Xiang Zhu
We separate the results by country of origin, and correlate their temporal development with events in those countries.
no code implementations • 25 Aug 2020 • Anna Kruspe
We demonstrate how to use this approach for a variety of data sets and present results on different data sets representing similar problems.
no code implementations • ACL 2020 • Anna Kruspe, Matthias H{\"a}berle, Iona Kuhn, Xiao Xiang Zhu
In this paper, we analyze Twitter messages (tweets) collected during the first months of the COVID-19 pandemic in Europe with regard to their sentiment.
no code implementations • 5 Oct 2019 • Anna Kruspe
Social media sources can provide crucial information in crisis situations, but discovering relevant messages is not trivial.
no code implementations • 3 Jun 2019 • Anna Kruspe
Trained on the commonly used Omniglot data set, we obtain a classification accuracy of . 98 on the matched test set, and of . 8 on unmatched MNIST data.