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Towards Label-Agnostic Emotion Embeddings ...
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Towards Label-Agnostic Emotion Embeddings ...
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Learning and Evaluating Emotion Lexicons for 91 Languages ...
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JULIELab/MEmoLon (Individual Lexicons) ...
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JULIELab/MEmoLon (Individual Lexicons) ...
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JULIELab/MEmoLon (Data) ...
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JULIELab/MEmoLon (Data) ...
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Medical Information Extraction in the Age of Deep Learning
In: Yearb Med Inform (2020)
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Wenn der Funke überspringt – Word Embeddings im Dienst der Wissenschaftsgeschichte ...
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Wenn der Funke überspringt – Word Embeddings im Dienst der Wissenschaftsgeschichte ...
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JeSemE: A Website for Exploring Diachronic Changes in Word Meaning and Emotion ...
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Representation Mapping: A Novel Approach to Generate High-Quality Multi-Lingual Emotion Lexicons ...
Buechel, Sven; Hahn, Udo. - : arXiv, 2018
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Emotion Representation Mapping for Automatic Lexicon Construction (Mostly) Performs on Human Level ...
Buechel, Sven; Hahn, Udo. - : arXiv, 2018
Abstract: Emotion Representation Mapping (ERM) has the goal to convert existing emotion ratings from one representation format into another one, e.g., mapping Valence-Arousal-Dominance annotations for words or sentences into Ekman's Basic Emotions and vice versa. ERM can thus not only be considered as an alternative to Word Emotion Induction (WEI) techniques for automatic emotion lexicon construction but may also help mitigate problems that come from the proliferation of emotion representation formats in recent years. We propose a new neural network approach to ERM that not only outperforms the previous state-of-the-art. Equally important, we present a refined evaluation methodology and gather strong evidence that our model yields results which are (almost) as reliable as human annotations, even in cross-lingual settings. Based on these results we generate new emotion ratings for 13 typologically diverse languages and claim that they have near-gold quality, at least. ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1806.08890
https://dx.doi.org/10.48550/arxiv.1806.08890
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JeSemE models for lexical semantic change ...
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JeSemE models for lexical semantic change ...
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Word embeddings-based uncertainty detection in financial disclosures
Stuckenschmidt, Heiner; Theil, Christoph Kilian; Štajner, Sanja. - : Association for Computational Linguistics, 2018
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Romantik im Wandel der Zeit – eine quantitative Untersuchung ...
Hellrich, Johannes; Hahn, Udo. - : Zenodo, 2017
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Romantik im Wandel der Zeit – eine quantitative Untersuchung ...
Hellrich, Johannes; Hahn, Udo. - : Zenodo, 2017
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UIMA als Plattform für die nachhaltige Software-Entwicklung in den Digital Humanities ...
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UIMA als Plattform für die nachhaltige Software-Entwicklung in den Digital Humanities ...
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