activity
20192021
most citedEnabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias

35 citations · 116 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CL2021

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…

cs.CL2021★ 2 cited

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…

cs.CL2021★ 11 cited

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…

cs.CL2021★ 10 cited

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…

cs.CL2019

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…