Papers by Thomas Haider

3 papers
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry (2020.lrec-1)

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Challenge: a new study shows that literature enables engagement in a broader range of complex and subtle emotions.
Approach: They propose to use multiple emotion labels to capture mixed emotions in poetry . they evaluate an annotation experiment with experts and crowdsourcing .
Outcome: The proposed method shows that identifying aesthetic emotions is challenging in the German subset.
Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features (2021.eacl-main)

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Challenge: a prerequisite for the computational study of literature is the availability of properly digitized texts with reliable meta-data and ground-truth annotation.
Approach: They propose to annotate prosodic features in large poetry corpora for English and German and train corpus driven neural models that enable large scale analysis.
Outcome: The proposed models outperform baseline and BERT-based approaches in English and german and show that they learn foot boundaries better when jointly predicting syllable stress, aesthetic emotions and verse measures benefit from each other.
A Large Annotated Reference Corpus of New High German Poetry (2024.lrec-main)

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Challenge: a corpus of public domain German poetry covering the time period 1600 to the 1920s contains 65k unique poems and over 1.6M lines, each tokenized, syllabified, pos-tagged, and meter-tagged.
Approach: They present a large annotated corpus of public domain German poetry covering the time period 1600 to the 1920s with 65k poems.
Outcome: The corpus contains 65k unique poems and over 1.6M lines, each tokenized, syllabified, pos-tagged, and meter-tagged.

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