Emilie Sitter
Emilie Sitter has 2 papers in our library, in 2026, most of them on Idioms & multiword expressions, Psycholinguistics & language acquisition; often with Berenike Herrmann, Omar Momen, Sina Zarrieß.
OpenAlex · ORCID · Wikidata · h-index 0 · 14 works · 0 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 3 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11494
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksExperimental and Cognitive Psychology · 2 worksLanguage and Linguistics · 2 worksPsychology · 2 worksArtificial Intelligence · 1 workComputer Science · 1 work
🧭 Topics 2Research subjects and languages the work is about.Idioms & multiword expressions · 2 worksPsycholinguistics & language acquisition · 1 work
💡 Concepts 2Key ideas and methods explained on our concept pages.Cognitive linguistics · 1 workPsycholinguistics · 1 work
Works by year
2020s
Papers
- Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic Datasets (2026 · 1 citation)
The paper asks whether surprisal from language models can serve as a measure of how novel a metaphor is. Separating creative metaphors from conventionalized ones is difficult even for human annotators. The authors computed surprisal on metaphor-related words with 16 causal LM variants of different sizes, including… - Decomposing Creativity: Two Small Datasets Combining Originality Ratings and Metaphor Annotations (2026)
The paper addresses a gap in NLP resources: few datasets pair holistic judgments of creativity with fine-grained annotation of specific devices such as metaphor.
All works
- Annotating Spatial Descriptions in Literary and Non-Literary Text ↗Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025) · no summary yetEmilie Sitter et al.2025 · 2 citations
- Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic DatasetsConference of the European Chapter of the Association for Computational Linguistics (EACL)Omar Momen, Emilie Sitter, Berenike Herrmann, et al.2026 · 1 citation
- Decomposing Creativity: Two Small Datasets Combining Originality Ratings and Metaphor AnnotationsLearning Non-Literal Expressions with Small Data @ LRECEmilie Sitter, Sina Zarrieß, Omar Momen, et al.2026
Co-authors here
Venues
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- Learning Non-Literal Expressions with Small Data @ LREC: Learning Non-Literal Expressions with Small Data @ LREC 2026
- Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025)
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/emilie-sitter/