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ORCIDThomas N. Haider
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- affiliation: Max-Planck-Institut für empirische Ästhetik, Frankfurt am Main, Germany
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2020 – today
- 2023
[c12]Thomas Nikolaus Haider, Stephanie Schennach, Julius Thelen, Jörg Wesche:
Barockpoetik als Wikibase: Eine Datenbank zu konfessionsgeschichtlichen Aspekten in deutschen Barockpoetike. DHd 2023: 358- [c11]Gesa Bei der Wieden, Taylor Bathurst, Thomas Nikolaus Haider:
More Social, Less Religious: Trends of Hardcover Fiction Titles on the New York Times Bestseller List 2000-2020. DH 2023 - 2021
- [c10]Thomas N. Haider:
Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features. EACL 2021: 3715-3725 - [i5]Thomas N. Haider
:
Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features. CoRR abs/2102.08858 (2021) - 2020
- [c9]Thomas Nikolaus Haider, Annette van Dyck-Hemming, Jan Eberhardt:
Extracting a Social Network of Musicologists. DH 2020 - [c8]Thomas Nikolaus Haider, Gerrit Kentner:
Speech Rhythm and Syntax in Poetry and Prose. DH 2020 - [c7]Petr Plechác, Thomas Nikolaus Haider:
Mapping Topic Evolution Across Poetic Traditions. DH 2020 - [c6]Thomas N. Haider, Steffen Eger, Evgeny Kim, Roman Klinger, Winfried Menninghaus:
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry. LREC 2020: 1652-1663 - [c5]David Rother, Thomas N. Haider, Steffen Eger:
CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts. SemEval@COLING 2020: 187-193 - [i4]Thomas N. Haider, Steffen Eger, Evgeny Kim, Roman Klinger, Winfried Menninghaus:
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry. CoRR abs/2003.07723 (2020) - [i3]Petr Plechác, Thomas N. Haider:
Mapping Topic Evolution Across Poetic Traditions. CoRR abs/2006.15732 (2020)
2010 – 2019
- 2019
- [c4]Thomas N. Haider, Steffen Eger:
Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry. LChange@ACL 2019: 216-222 - [c3]Fotis Jannidis, Christof Schöch, Jonas Kuhn, Timo Baumann, Hussein Hussein, Thomas N. Haider, Burkhard Meyer-Sickendiek:
Deep Learning als Herausforderung für die digitale Literaturwissenschaft. DHd 2019 - [i2]Thomas N. Haider:
Diachronic Topics in New High German Poetry. CoRR abs/1909.11189 (2019) - [i1]Thomas N. Haider, Steffen Eger:
Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry. CoRR abs/1909.12136 (2019) - 2018
- [c2]Thomas N. Haider, Jonas Kuhn:
Supervised Rhyme Detection with Siamese Recurrent Networks. LaTeCH@COLING 2018: 81-86 - 2014
- [c1]Joachim Bingel, Thomas N. Haider:
Named Entity Tagging a Very Large Unbalanced Corpus: Training and Evaluating NE Classifiers. LREC 2014: 2578-2583
Coauthor Index
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