A flexible and easy-to-use semantic role labeling framework for different languages
Proceedings of the 27th International Conference on Computational …, 2018•aclanthology.org
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.
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
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.
aclanthology.org
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