Alexandra Fodor
Biographic Data
| ID | 8965470 |
|---|---|
| NAME | Alexandra Fodor |
| GIVEN NAMES | Alexandra |
| FAMILY NAME | Fodor |
| SIGNATURE | FODOR A |
| AFFILIATIONS | Eötvös Loránd University |
| ORCID | 0000-0003-1290-4560 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 1 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Evaluating large language models on a hermeneutically complex text annotation task
The study examines whether large language models (LLMs) are capable of interpreting individual framings of depression in online forums - a challenging annotation task involving categories that are neither mutually exclusive nor trivial from a hermeneutic perspective. Using a corpus annotated by two annotators, the texts and categories that posed difficulties for human interpretation were identified, and the LLMs were prompted to report their conf…
English historical linguistics 2010
"The volume brings together seventeen peer-reviewed, revised papers originally presented at the 16th International Conference on English Historical Linguistics (ICEHL 16), held in August 2010 at the University of Pécs, Hungary. This selection aims to show how theoretical and empirical approaches can be combined in the historical investigation of the English language, what insights and exact information can be obtained about language change in the…
No prominent works on this page.
English historical linguistics 2010
"The volume brings together seventeen peer-reviewed, revised papers originally presented at the 16th International Conference on English Historical Linguistics (ICEHL 16), held in August 2010 at the University of Pécs, Hungary. This selection aims to show how theoretical and empirical approaches can be combined in the historical investigation of the English language, what insights and exact information can be obtained about language change in the…
Evaluating large language models on a hermeneutically complex text annotation task
The study examines whether large language models (LLMs) are capable of interpreting individual framings of depression in online forums - a challenging annotation task involving categories that are neither mutually exclusive nor trivial from a hermeneutic perspective. Using a corpus annotated by two annotators, the texts and categories that posed difficulties for human interpretation were identified, and the LLMs were prompted to report their conf…
Affect (linguistics) (1 work) · Annotation (1 work) · Applied linguistics (1 work) · Computational and Text Analysis Methods (1 work) · Congresses (1 work) · Construct (python library) (1 work) · Digital Mental Health Interventions (1 work) · English language (1 work) · English Language History (1 work) · English language, grammar, historical (1 work)