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        <title>A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages</title>
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        <namePart type="given">Ngoc</namePart>
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    <name type="personal">
        <namePart type="given">Marie-Francine</namePart>
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            <namePart type="given">Dongyan</namePart>
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    <abstract>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.</abstract>
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%0 Conference Proceedings
%T A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages
%A Do, Quynh Ngoc Thi
%A Leeuwenberg, Artuur
%A Heyman, Geert
%A Moens, Marie-Francine
%Y Zhao, Dongyan
%S Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico
%F do-etal-2018-flexible
%X 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.
%U https://aclanthology.org/C18-2035
%P 161-165

Markdown (Informal)

[A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages](https://aclanthology.org/C18-2035) (Do et al., COLING 2018)

• A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages (Do et al., COLING 2018)

ACL

• Quynh Ngoc Thi Do, Artuur Leeuwenberg, Geert Heyman, and Marie-Francine Moens. 2018. A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pages 161–165, Santa Fe, New Mexico. Association for Computational Linguistics.