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Maximilian Wegge

4 papers hereh-index 224 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4

identity via Semantic Scholar / OpenAlex

most citedAutomatic Emotion Experiencer Recognition

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2023

Topic Bias in Emotion Classification

Maximilian Wegge, Roman Klinger

Emotion corpora are typically sampled based on keyword/hashtag search or by asking study participants to generate textual instances. In any case, these corpora are not uniform samp…

cs.CL2023★ 1 cited

Automatic Emotion Experiencer Recognition

Maximilian Wegge, Roman Klinger

The most prominent subtask in emotion analysis is emotion classification; to assign a category to a textual unit, for instance a social media post. Many research questions from the…

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

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…

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