A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages
2018-08-01COLING 2018Unverified0· sign in to hype
Quynh Ngoc Thi Do, Artuur Leeuwenberg, Geert Heyman, Marie-Francine Moens
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This paper presents a flexible and open source framework for deep semantic role labeling. We aim at facilitating easy exploration of model structures for multiple languages with different characteristics. It provides flexibility in its model construction in terms of word representation, sequence representation, output modeling, and inference styles and comes with clear output visualization. The framework is available under the Apache 2.0 license.