1 code implementation • 19 Jul 2023 • Junaid Ahmed Ghauri, Eric Müller-Budack, Ralph Ewerth
In this paper, we adopt state-of-the-art deep learning methods for the classification of visualization types and perspectives in patent images.
1 code implementation • 29 May 2023 • Sahar Tahmasebi, Sherzod Hakimov, Ralph Ewerth, Eric Müller-Budack
To reduce the bias and improve model generalization, we suggest training data augmentation to conduct more meaningful experiments for fake news detection on social media.
1 code implementation • 15 Nov 2022 • Golsa Tahmasebzadeh, Eric Müller-Budack, Sherzod Hakimov, Ralph Ewerth
In this paper, a novel dataset called Multimodal Focus Location of News (MM-Locate-News) is introduced.
1 code implementation • Findings (NAACL) 2022 • Gullal S. Cheema, Sherzod Hakimov, Abdul Sittar, Eric Müller-Budack, Christian Otto, Ralph Ewerth
In recent years, the problem of misinformation on the web has become widespread across languages, countries, and various social media platforms.
no code implementations • 21 Oct 2021 • Jonas Theiner, Wolfgang Gritz, Eric Müller-Budack, Robert Rein, Daniel Memmert, Ralph Ewerth
A comprehensive experimental evaluation is presented for the individual modules as well as the entire pipeline to identify the influence of errors to subsequent modules and the overall result.
1 code implementation • 17 Jun 2021 • Matthias Springstein, Eric Müller-Budack, Ralph Ewerth
The recognition of handwritten mathematical expressions in images and video frames is a difficult and unsolved problem yet.
1 code implementation • 16 Jun 2021 • Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack, Ralph Ewerth
Opinion and sentiment analysis is a vital task to characterize subjective information in social media posts.
1 code implementation • 30 Apr 2021 • Golsa Tahmasebzadeh, Endri Kacupaj, Eric Müller-Budack, Sherzod Hakimov, Jens Lehmann, Ralph Ewerth
The first module is a state-of-the-art model for geolocation estimation of images.
1 code implementation • 28 Apr 2021 • Matthias Springstein, Eric Müller-Budack, Ralph Ewerth
The World Wide Web and social media platforms have become popular sources for news and information.
1 code implementation • 17 Mar 2021 • Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack, Ralph Ewerth
Fake news is a severe problem in social media.
1 code implementation • 9 Nov 2020 • Eric Müller-Budack, Matthias Springstein, Sherzod Hakimov, Kevin Mrutzek, Ralph Ewerth
Event classification can add valuable information for semantic search and the increasingly important topic of fact validation in news.
no code implementations • 13 Jul 2020 • Golsa Tahmasebzadeh, Sherzod Hakimov, Eric Müller-Budack, Ralph Ewerth
Content-based information retrieval is based on the information contained in documents rather than using metadata such as keywords.
no code implementations • 23 Mar 2020 • Eric Müller-Budack, Jonas Theiner, Sebastian Diering, Maximilian Idahl, Ralph Ewerth
In this paper, we introduce a novel task of cross-modal consistency verification in real-world news and present a multimodal approach to quantify the entity coherence between image and text.
no code implementations • 19 Jan 2020 • David Morris, Eric Müller-Budack, Ralph Ewerth
We have reserved all the actual educational images as a test dataset in order to ensure that the approaches using this dataset generalize well to new educational images, and potentially other domains.
2 code implementations • 2 Sep 2019 • Eric Müller-Budack, Jonas Theiner, Robert Rein, Ralph Ewerth
For this purpose, a visual summary is utilized that summarizes the team formation in a match segment.
no code implementations • 21 Jun 2018 • Eric Müller-Budack, Kader Pustu-Iren, Sebastian Diering, Ralph Ewerth
In this paper, we introduce a system for person recognition in image content of web news stored in the Internet Archive.