Papers by Anne Göhring
Polar Quantification of Actor Noun Phrases for German (2022.lrec-1)
Copied to clipboard
| Challenge: | Polanyi and Zaenen (2006) focused on the negative polar load of noun phrases, especially those denoting actors. |
| Approach: | They propose a method to measure the negative polar load of noun phrases by using a silver standard and a BERT-based intensity regressor. |
| Outcome: | The proposed model is based on a lexicon-based silver standard and tested empirically. |
ConLoan: A Contrastive Multilingual Dataset for Evaluating Loanwords (2025.acl-long)
Copied to clipboard
Sina Ahmadi, Micha David Hess, Elena Álvarez-Mellado, Alessia Battisti, Cui Ding, Anne Göhring, Yingqiang Gao, Zifan Jiang, Andrianos Michail, Peshmerge Morad, Joel Niklaus, Maria Christina Panagiotopoulou, Stefano Perrella, Juri Opitz, Anastassia Shaitarova, Rico Sennrich
| Challenge: | Lexical borrowing is a ubiquitous linguistic phenomenon influenced by geopolitical, societal, and technological factors. |
| Approach: | They propose a novel contrastive dataset comprising sentences with and without loanwords across 10 languages to examine how machine translation and language models process loanword . |
| Outcome: | The proposed dataset shows that state-of-the-art models prefer loanwords over native terms and exhibit varying performance across languages. |
SwissSLi: The Multi-parallel Sign Language Corpus for Switzerland (2024.lrec-main)
Copied to clipboard
| Challenge: | Using a CC BY-NC-SA 4.0 license, this corpus contains parallel sign language videos and spoken language subtitles. |
| Approach: | They introduce SwissSLi, the first sign language corpus that contains parallel data of all three Swiss sign languages. |
| Outcome: | The proposed corpus contains parallel sign language videos and spoken language subtitles. |
Animacy Denoting German Nouns: Annotation and Classification (2022.lrec-1)
Copied to clipboard
| Challenge: | Animacy detection is meant to distinguish words which denote humans from words used to denote non-humans. |
| Approach: | They propose a gold standard for animacy detection comprising almost 14,500 German nouns that might be used to denote either animate entities or non-animate entities. |
| Outcome: | The proposed gold standard comprises almost 14,500 German nouns that might be used to denote either animate entities or non-animate entities. |