Luise Dürlich
Biographic Data
| ID | 6536843 |
|---|---|
| NAME | Luise Dürlich |
| GIVEN NAMES | Luise |
| FAMILY NAME | Dürlich |
| SIGNATURE | DÜRLICH L |
| AFFILIATIONS | Uppsala University, Department of Linguistics and Philology RISE Research Institutes of Sweden. [email protected] |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Using Multilingual Language Technology to Classify Open-Ended Survey Responses
Recent advancements in language technology have opened new avenues in political science for automating and improving survey data analysis across diverse cultural contexts. This article examines the effectiveness of language models (LMs) in analyzing open-ended survey responses about democracy from ten countries, contrasting these modern tools with traditional survey methodologies. Utilizing a predefined coding scheme and a subset of pre-annotated…
Nucleus Composition in Transition-based Dependency Parsing
Dependency-based approaches to syntactic analysis assume that syntactic structure can be analyzed in terms of binary asymmetric dependency relations holding between elementary syntactic units. Computational models for dependency parsing almost universally assume that an elementary syntactic unit is a word, while the influential theory of Lucien Tesnière instead posits a more abstract notion of nucleus, which may be realized as one or more words. …
No prominent works on this page.
Nucleus Composition in Transition-based Dependency Parsing
Dependency-based approaches to syntactic analysis assume that syntactic structure can be analyzed in terms of binary asymmetric dependency relations holding between elementary syntactic units. Computational models for dependency parsing almost universally assume that an elementary syntactic unit is a word, while the influential theory of Lucien Tesnière instead posits a more abstract notion of nucleus, which may be realized as one or more words. …
Using Multilingual Language Technology to Classify Open-Ended Survey Responses
Recent advancements in language technology have opened new avenues in political science for automating and improving survey data analysis across diverse cultural contexts. This article examines the effectiveness of language models (LMs) in analyzing open-ended survey responses about democracy from ten countries, contrasting these modern tools with traditional survey methodologies. Utilizing a predefined coding scheme and a subset of pre-annotated…
Artificial Intelligence (1 work) · Coding (social sciences) (1 work) · Computational and Text Analysis Methods (1 work) · Computer Science (1 work) · Curse of dimensionality (1 work) · Democracy (1 work) · Dependency (UML (1 work) · Dependency grammar (1 work) · Machine Learning in Bioinformatics (1 work) · Natural language processing (1 work)