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20172026
most citedPerspectives on Large Language Models for Relevance Judgment

170 citations · 254 across the 34 of their papers we have counts for

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Showing 2020 · cs.CLShow all

6 papers · 2 filters

cs.CL2020★ 3 cited

Argument from Old Man's View: Assessing Social Bias in Argumentation

Maximilian Spliethöver, Henning Wachsmuth

Social bias in language - towards genders, ethnicities, ages, and other social groups - poses a problem with ethical impact for many NLP applications. Recent research has shown tha…

cs.CL2020★ 1 cited

Semi-Supervised Cleansing of Web Argument Corpora

Jonas Dorsch, Henning Wachsmuth

Debate portals and similar web platforms constitute one of the main text sources in computational argumentation research and its applications. While the corpora built upon these so…

cs.CL2020

Intrinsic Quality Assessment of Arguments

Henning Wachsmuth, Till Werner

Several quality dimensions of natural language arguments have been investigated. Some are likely to be reflected in linguistic features (e.g., an argument's arrangement), whereas o…

cs.CL2020

Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity

Wei-Fan Chen, Khalid Al-Khatib, Henning Wachsmuth +1

Media organizations bear great reponsibility because of their considerable influence on shaping beliefs and positions of our society. Any form of media can contain overly biased co…

cs.CL2020

Detecting Media Bias in News Articles using Gaussian Bias Distributions

Wei-Fan Chen, Khalid Al-Khatib, Benno Stein +1

Media plays an important role in shaping public opinion. Biased media can influence people in undesirable directions and hence should be unmasked as such. We observe that featureba…

cs.CL2020★ 23 cited

SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles

G. Da San Martino, A. Barrón-Cedeño, H. Wachsmuth +2

We present the results and the main findings of SemEval-2020 Task 11 on Detection of Propaganda Techniques in News Articles. The task featured two subtasks. Subtask SI is about Spa…