Papers by Anna Wegmann
Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework (2021.emnlp-main)
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| Challenge: | linguistic style is an integral part of natural language, but evaluation methods for style measures are rare, often task-specific and usually do not control for content. |
| Approach: | They propose a modular, fine-grained and content-controlled similarity-based STyle EvaLuation framework to test the performance of any model that can compare two sentences on style. |
| Outcome: | The proposed model outperforms simple versions of commonly used style measures like 3-grams, punctuation frequency and LIWC-based approaches. |
Tokenization is Sensitive to Language Variation (2025.findings-acl)
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| Challenge: | Variation in language is often linked to regional, social, and contextual factors. |
| Approach: | They propose a method to estimate tokenizer impact on downstream LLM performance . they pre-train BERT models with the popular Byte-Pair Encoding algorithm . |
| Outcome: | The proposed model improves on Rényi efficiency and other metrics on language variation. |
What’s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs (2024.emnlp-main)
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| Challenge: | a dataset of utterance pairs from NPR and CNN is used to classify paraphrases in dialog. |
| Approach: | They propose a dataset annotated for context-dependent paraphrases and develop a training for crowd-workers to classify paraphrase in dialog. |
| Outcome: | The proposed dataset contains 5,581 annotations on 600 utterance pairs. |