no code implementations • 17 Oct 2023 • Thilo Spinner, Rebecca Kehlbeck, Rita Sevastjanova, Tobias Stähle, Daniel A. Keim, Oliver Deussen, Andreas Spitz, Mennatallah El-Assady
We quantitatively show the value of exposing the beam search tree and present five detailed analysis scenarios addressing the identified challenges.
1 code implementation • 15 Nov 2022 • Philipp Scharpf, Moritz Schubotz, Andreas Spitz, Andre Greiner-Petter, Bela Gipp
To address this need, we propose a multilingual Wikimedia framework that allows for collaborative worldwide teacher knowledge engineering and subsequent AI-aided question generation, test, and correction.
1 code implementation • 15 Nov 2022 • Silke Husse, Andreas Spitz
The awareness and mitigation of biases are of fundamental importance for the fair and transparent use of contextual language models, yet they crucially depend on the accurate detection of biases as a precursor.
1 code implementation • 17 Jul 2022 • Jonathan Külz, Andreas Spitz, Ahmad Abu-Akel, Stephan Günnemann, Robert West
There is a widespread belief that the tone of US political language has become more negative recently, in particular when Donald Trump entered politics.
no code implementations • 7 Jul 2022 • Vuk Vuković, Akhil Arora, Huan-Cheng Chang, Andreas Spitz, Robert West
The use of attributed quotes is the most direct and least filtered pathway of information propagation in news.
1 code implementation • NAACL (ACL) 2022 • Marko Čuljak, Andreas Spitz, Robert West, Akhil Arora
Named entity linking (NEL) in news is a challenging endeavour due to the frequency of unseen and emerging entities, which necessitates the use of unsupervised or zero-shot methods.
no code implementations • 5 Jun 2021 • Cong Tran, Won-Yong Shin, Andreas Spitz
Since the structure of complex networks is often unknown, we may identify the most influential seed nodes by exploring only a part of the underlying network, given a small budget for node queries.
1 code implementation • 17 Jul 2019 • Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz
In this paper, we present DeepNC, a novel method for inferring the missing parts of a network based on a deep generative model of graphs.
no code implementations • 29 May 2019 • Andreas Spitz, Satya Almasian, Michael Gertz
The recent introduction of entity-centric implicit network representations of unstructured text offers novel ways for exploring entity relations in document collections and streams efficiently and interactively.
no code implementations • 22 May 2019 • Gloria Feher, Andreas Spitz, Michael Gertz
Word embeddings have gained significant attention as learnable representations of semantic relations between words, and have been shown to improve upon the results of traditional word representations.
1 code implementation • 6 Feb 2019 • Satya Almasian, Andreas Spitz, Michael Gertz
We discuss two distinct approaches to the generation of such embeddings, namely the training of state-of-the-art embeddings on raw-text and annotated versions of the corpus, as well as node embeddings of a co-occurrence graph representation of the annotated corpus.
no code implementations • 30 Dec 2017 • Cong Tran, Won-Yong Shin, Andreas Spitz
The discovery of community structures in social networks has gained significant attention since it is a fundamental problem in understanding the networks' topology and functions.
no code implementations • EMNLP 2017 • Ludwig Richter, Johanna Gei{\ss}, Andreas Spitz, Michael Gertz
Geographic information extraction from textual data sources, called geoparsing, is a key task in text processing and central to subsequent spatial analysis approaches.
1 code implementation • 11 Aug 2017 • Erich Schubert, Andreas Spitz, Michael Weiler, Johanna Geiß, Michael Gertz
We then select keywords based on their significance and construct the word cloud based on the derived affinity.