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Found 7 papers, 4 papers with code
Annotating Patient Information Needs in Online Diabetes Forums
First, the contributions were categorised according to whether they contain a diabetes-specific information need or not, which might either be a non diabetes-specific information need or no information need at all, resulting in an agreement of 0. 89 (Krippendorff’s α).
Citizen Involvement in Urban Planning - How Can Municipalities Be Supported in Evaluating Public Participation Processes for Mobility Transitions?
In our evaluation, we achieve high macro F1 scores (0. 76 - 0. 80 for the identification of argumentative units; 0. 86 - 0. 93 for their classification) on all datasets.
A Corpus of German Citizen Contributions in Mobility Planning: Supporting Evaluation Through Multidimensional Classification
Political authorities in democratic countries regularly consult the public in order to allow citizens to voice their ideas and concerns on specific issues.
Is Your Perspective Also My Perspective? Enriching Prediction with Subjectivity
Although argumentation can be highly subjective, the common practice with supervised machine learning is to construct and learn from an aggregated ground truth formed from individual judgments by majority voting, averaging, or adjudication.
Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives!
To best represent the interplay of individual and shared perspectives, we consider a continuum of approaches ranging from models that fully aggregate perspectives into a majority label to "share nothing"-architectures in which each annotator is considered in isolation from all other annotators.
HHU at SemEval-2019 Task 6: Context Does Matter - Tackling Offensive Language Identification and Categorization with ELMo
We present our results for OffensEval: Identifying and Categorizing Offensive Language in Social Media (SemEval 2019 - Task 6).
HHU at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Data using Machine Learning Methods
In this Paper a system for solving SemEval-2017 Task 5 is presented.
