35 citations · 116 across the 9 of their papers we have counts for
11 papers
XCoref: Cross-document Coreference Resolution in the Wild
Anastasia Zhukova, Felix Hamborg, Karsten Donnay +1
Datasets and methods for cross-document coreference resolution (CDCR) focus on events or entities with strict coreference relations. They lack, however, annotating and resolving co…
Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons
Anastasia Zhukova, Felix Hamborg, Karsten Donnay +1
Unsupervised concept identification through clustering, i.e., identification of semantically related words and phrases, is a common approach to identify contextual primitives emplo…
MBIC -- A Media Bias Annotation Dataset Including Annotator Characteristics
T. Spinde, L. Rudnitckaia, K. Sinha +3
Many people consider news articles to be a reliable source of information on current events. However, due to the range of factors influencing news agencies, such coverage may not a…
Newsalyze: Enabling News Consumers to Understand Media Bias
Felix Hamborg, Anastasia Zhukova, Karsten Donnay +1
News is a central source of information for individuals to inform themselves on current topics. Knowing a news article's slant and authenticity is of crucial importance in times of…
Towards Target-dependent Sentiment Classification in News Articles
Felix Hamborg, Karsten Donnay, Bela Gipp
Extensive research on target-dependent sentiment classification (TSC) has led to strong classification performances in domains where authors tend to explicitly express sentiment ab…
Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias
Timo Spinde, Felix Hamborg, Karsten Donnay +2
Traditional media outlets are known to report political news in a biased way, potentially affecting the political beliefs of the audience and even altering their voting behaviors.…
The POLUSA Dataset: 0.9M Political News Articles Balanced by Time and Outlet Popularity
Lukas Gebhard, Felix Hamborg
News articles covering policy issues are an essential source of information in the social sciences and are also frequently used for other use cases, e.g., to train NLP language mod…
Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language
Philipp Scharpf, Moritz Schubotz, Abdou Youssef +3
In this paper, we show how selecting and combining encodings of natural and mathematical language affect classification and clustering of documents with mathematical content. We de…
NewsDeps: Visualizing the Origin of Information in News Articles
Felix Hamborg, Philipp Meschenmoser, Moritz Schubotz +1
In scientific publications, citations allow readers to assess the authenticity of the presented information and verify it in the original context. News articles, however, do not co…
Giveme5W1H: A Universal System for Extracting Main Events from News Articles
Felix Hamborg, Corinna Breitinger, Bela Gipp
Event extraction from news articles is a commonly required prerequisite for various tasks, such as article summarization, article clustering, and news aggregation. Due to the lack…
Introducing MathQA -- A Math-Aware Question Answering System
Moritz Schubotz, Philipp Scharpf, Kaushal Dudhat +3
We present an open source math-aware Question Answering System based on Ask Platypus. Our system returns as a single mathematical formula for a natural language question in English…