10 citations · 19 across the 3 of their papers we have counts for
10 papers · 1 filter
EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis
Sven Buechel, Udo Hahn
We describe EmoBank, a corpus of 10k English sentences balancing multiple genres, which we annotated with dimensional emotion metadata in the Valence-Arousal-Dominance (VAD) repres…
Towards Label-Agnostic Emotion Embeddings
Sven Buechel, Luise Modersohn, Udo Hahn
Research in emotion analysis is scattered across different label formats (e.g., polarity types, basic emotion categories, and affective dimensions), linguistic levels (word vs. sen…
GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines
Florian Borchert, Christina Lohr, Luise Modersohn +5
The lack of publicly accessible text corpora is a major obstacle for progress in natural language processing. For medical applications, unfortunately, all language communities othe…
Learning and Evaluating Emotion Lexicons for 91 Languages
Sven Buechel, Susanna Rücker, Udo Hahn
Emotion lexicons describe the affective meaning of words and thus constitute a centerpiece for advanced sentiment and emotion analysis. Yet, manually curated lexicons are only avai…
A Time Series Analysis of Emotional Loading in Central Bank Statements
Sven Buechel, Simon Junker, Thore Schlaak +2
We examine the affective content of central bank press statements using emotion analysis. Our focus is on two major international players, the European Central Bank (ECB) and the U…
The Influence of Down-Sampling Strategies on SVD Word Embedding Stability
Johannes Hellrich, Bernd Kampe, Udo Hahn
The stability of word embedding algorithms, i.e., the consistency of the word representations they reveal when trained repeatedly on the same data set, has recently raised concerns…