Martine Enger


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An open-source tool for negation detection: a maximum-margin approach
Martine Enger | Erik Velldal | Lilja Øvrelid
Proceedings of the Workshop Computational Semantics Beyond Events and Roles

This paper presents an open-source toolkit for negation detection. It identifies negation cues and their corresponding scope in either raw or parsed text using maximum-margin classification. The system design draws on best practice from the existing literature on negation detection, aiming for a simple and portable system that still achieves competitive performance. Pre-trained models and experimental results are provided for English.