Papers by Grégoire Winterstein

3 papers
CantoMap: a Hong Kong Cantonese MapTask Corpus (2020.lrec-1)

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Challenge: a corpus of connected spoken Hong Kong Cantonese is constructed to study the phonology and semantics of the language.
Approach: They propose to build a corpus of connected spoken Hong Kong Cantonese with phonemic transcription and controlled elicitation tasks.
Outcome: The proposed corpus contains 768 minutes of recordings and transcripts of forty speakers.
Cifu: a Frequency Lexicon of Hong Kong Cantonese (2020.lrec-1)

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Challenge: lexical database for Hong Kong Cantonese offers phonological and orthographic information, frequency measures, and lexically neighborhood information for lexicals in HKC.
Approach: They introduce a lexical database for Hong Kong Cantonese that offers phonological and orthographic information, frequency measures, and lexically neighborhood information for lexicals in HKC.
Outcome: The proposed lexical database for Hong Kong Cantonese offers phonological and orthographic information, frequency measures, and lexically neighborhood information.
Unveiling Identity Biases in Toxicity Detection : A Game-Focused Dataset and Reactivity Analysis Approach (2023.emnlp-industry)

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Challenge: Existing datasets focused on gender or racial biases are not designed for the gaming industry, a concern for models built for toxicity detection in videogames’ written chat.
Approach: They propose to use reactivity analysis to highlight oversensitive terms using a language model developed by Ubisoft for toxicity detection on videogame’s written chat and Perspective API to generate a list of terms that trigger the models to varying degrees.
Outcome: The proposed model can detect and amplify identity biases in annotated language models and is compared with a language model developed by Ubisoft for toxicity detection on videogames’ written chat and Perspective API.

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