activity
20192024
most citedDimensional Modeling of Emotions in Text with Appraisal Theories: Corpus Creation, Annotation Reliability, and Prediction

47 citations · 67 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CL2024

Dealing with Controversy: An Emotion and Coping Strategy Corpus Based on Role Playing

Enrica Troiano, Sofie Labat, Marco Antonio Stranisci +3

There is a mismatch between psychological and computational studies on emotions. Psychological research aims at explaining and documenting internal mechanisms of these phenomena, w…

cs.CL2022

Experiencer-Specific Emotion and Appraisal Prediction

Maximilian Wegge, Enrica Troiano, Laura Oberländer +1

Emotion classification in NLP assigns emotions to texts, such as sentences or paragraphs. With texts like "I felt guilty when he cried", focusing on the sentence level disregards t…

cs.CL2022★ 47 cited

Dimensional Modeling of Emotions in Text with Appraisal Theories: Corpus Creation, Annotation Reliability, and Prediction

Enrica Troiano, Laura Oberländer, Roman Klinger

The most prominent tasks in emotion analysis are to assign emotions to texts and to understand how emotions manifest in language. An observation for NLP is that emotions can be com…

cs.CL2022

x-enVENT: A Corpus of Event Descriptions with Experiencer-specific Emotion and Appraisal Annotations

Enrica Troiano, Laura Oberländer, Maximilian Wegge +1

Emotion classification is often formulated as the task to categorize texts into a predefined set of emotion classes. So far, this task has been the recognition of the emotion of wr…

cs.CL2022★ 2 cited

"splink" is happy and "phrouth" is scary: Emotion Intensity Analysis for Nonsense Words

Valentino Sabbatino, Enrica Troiano, Antje Schweitzer +1

People associate affective meanings to words - "death" is scary and sad while "party" is connotated with surprise and joy. This raises the question if the association is purely a p…

cs.CL2021★ 10 cited

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…

cs.CL2021★ 6 cited

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…

cs.CL2021★ 2 cited

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…

cs.CL2020

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…

cs.CL2020

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…

cs.CL2019

Crowdsourcing and Validating Event-focused Emotion Corpora for German and English

Enrica Troiano, Sebastian Padó, Roman Klinger

Sentiment analysis has a range of corpora available across multiple languages. For emotion analysis, the situation is more limited, which hinders potential research on cross-lingua…