Papers by Sergey Kramp
SOBR: A Corpus for Stylometry, Obfuscation, and Bias on Reddit (2024.lrec-main)
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| Challenge: | Existing corpora are limited in scope and can be used to collect data on author attributes. |
| Approach: | They propose to use subreddits, flairs, and self-reports as distant labels for author attributes (age, gender, nationality, personality, and political leaning) . |
| Outcome: | The proposed method could be used to infer author attributes from public posts despite their discreetness and anonymity . |
BigNLI: Native Language Identification with Big Bird Embeddings (2024.lrec-main)
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| Challenge: | Native Language Identification (NLI) is a task that relies on time-consuming linguistic feature engineering and current transformer models are limited by input size. |
| Approach: | They propose to train a logistic regression classifier which only uses Big Bird embeddings to overcome this limitation. |
| Outcome: | The proposed method outperforms linguistic feature engineering models on the Reddit-L2 dataset and shows consistent out-of-sample and out-off-domain performance. |