Search Results for author: Janis Goldzycher

Found 4 papers, 3 papers with code

CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions

1 code implementation6 Jun 2023 Janis Goldzycher

The widespread popularity of social media has led to an increase in hateful, abusive, and sexist language, motivating methods for the automatic detection of such phenomena.

Multi-Task Learning text-classification +1

Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled Data

1 code implementation6 Jun 2023 Janis Goldzycher, Moritz Preisig, Chantal Amrhein, Gerold Schneider

In this paper, we test whether natural language inference (NLI) models which perform well in zero- and few-shot settings can benefit hate speech detection performance in scenarios where only a limited amount of labeled data is available in the target language.

Hate Speech Detection Natural Language Inference +1

Hypothesis Engineering for Zero-Shot Hate Speech Detection

1 code implementation TRAC (COLING) 2022 Janis Goldzycher, Gerold Schneider

We find that the zero-shot baseline used for the initial error analysis already outperforms commercial systems and fine-tuned BERT-based hate speech detection models on HateCheck.

Hate Speech Detection Natural Language Inference +2

Geotagging a Diachronic Corpus of Alpine Texts: Comparing Distinct Approaches to Toponym Recognition

no code implementations RANLP 2019 Tannon Kew, Anastassia Shaitarova, Isabel Meraner, Janis Goldzycher, Simon Clematide, Martin Volk

Geotagging historic and cultural texts provides valuable access to heritage data, enabling location-based searching and new geographically related discoveries.

Toponym Recognition

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