63 citations · 345 across the 53 of their papers we have counts for
9 papers · 1 filter
From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Survey
Enrica Troiano, Aswathy Velutharambath, Roman Klinger
Humans are naturally endowed with the ability to write in a particular style. They can, for instance, re-phrase a formal letter in an informal way, convey a literal message with th…
Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language
Flor Miriam Plaza-del-Arco, Sercan Halat, Sebastian Padó +1
The recognition of hate speech and offensive language (HOF) is commonly formulated as a classification task to decide if a text contains HOF. We investigate whether HOF detection c…
Emotion Stimulus Detection in German News Headlines
Bao Minh Doan Dang, Laura Oberländer, Roman Klinger
Emotion stimulus extraction is a fine-grained subtask of emotion analysis that focuses on identifying the description of the cause behind an emotion expression from a text passage…
Emotion Recognition under Consideration of the Emotion Component Process Model
Felix Casel, Amelie Heindl, Roman Klinger
Emotion classification in text is typically performed with neural network models which learn to associate linguistic units with emotions. While this often leads to good predictive…
Constraining Linear-chain CRFs to Regular Languages
Sean Papay, Roman Klinger, Sebastian Padó
A major challenge in structured prediction is to represent the interdependencies within output structures. When outputs are structured as sequences, linear-chain conditional random…
Claim Detection in Biomedical Twitter Posts
Amelie Wührl, Roman Klinger
Social media contains unfiltered and unique information, which is potentially of great value, but, in the case of misinformation, can also do great harm. With regards to biomedical…
Emotion Ratings: How Intensity, Annotation Confidence and Agreements are Entangled
Enrica Troiano, Sebastian Padó, Roman Klinger
When humans judge the affective content of texts, they also implicitly assess the correctness of such judgment, that is, their confidence. We hypothesize that people's (in)confiden…
Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection
Lara Grimminger, Roman Klinger
The 2020 US Elections have been, more than ever before, characterized by social media campaigns and mutual accusations. We investigate in this paper if this manifests also in onlin…
Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal Annotations
Jan Hofmann, Enrica Troiano, Roman Klinger
Appraisal theories explain how the cognitive evaluation of an event leads to a particular emotion. In contrast to theories of basic emotions or affect (valence/arousal), this theor…