63 citations · 345 across the 53 of their papers we have counts for
7 papers · 1 filter
Token Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection
Laura Oberländer, Roman Klinger
Emotion stimulus detection is the task of finding the cause of an emotion in a textual description, similar to target or aspect detection for sentiment analysis. Previous work appr…
Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?
Laura Oberländer, Kevin Reich, Roman Klinger
Emotion recognition is predominantly formulated as text classification in which textual units are assigned to an emotion from a predefined inventory (e.g., fear, joy, anger, disgus…
Dissecting Span Identification Tasks with Performance Prediction
Sean Papay, Roman Klinger, Sebastian Padó
Span identification (in short, span ID) tasks such as chunking, NER, or code-switching detection, ask models to identify and classify relevant spans in a text. Despite being a stap…
Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline
David Helbig, Enrica Troiano, Roman Klinger
We propose the task of emotion style transfer, which is particularly challenging, as emotions (here: anger, disgust, fear, joy, sadness, surprise) are on the fence between content…
Appraisal Theories for Emotion Classification in Text
Jan Hofmann, Enrica Troiano, Kai Sassenberg +1
Automatic emotion categorization has been predominantly formulated as text classification in which textual units are assigned to an emotion from a predefined inventory, for instanc…
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry
Thomas Haider, Steffen Eger, Evgeny Kim +2
Most approaches to emotion analysis of social media, literature, news, and other domains focus exclusively on basic emotion categories as defined by Ekman or Plutchik. However, art…
Automatic Section Recognition in Obituaries
Valentino Sabbatino, Laura Bostan, Roman Klinger
Obituaries contain information about people's values across times and cultures, which makes them a useful resource for exploring cultural history. They are typically structured sim…