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Posted to issues@opennlp.apache.org by "Martin Wiesner (Jira)" <ji...@apache.org> on 2023/04/22 17:19:00 UTC

[jira] [Closed] (OPENNLP-1009) Experiment with deep learning based algorithms in OpenNLP

     [ https://issues.apache.org/jira/browse/OPENNLP-1009?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Martin Wiesner closed OPENNLP-1009.
-----------------------------------
    Resolution: Abandoned

> Experiment with deep learning based algorithms in OpenNLP
> ---------------------------------------------------------
>
>                 Key: OPENNLP-1009
>                 URL: https://issues.apache.org/jira/browse/OPENNLP-1009
>             Project: OpenNLP
>          Issue Type: Task
>            Reporter: Tommaso Teofili
>            Priority: Major
>
> It'd be interesting to experiment with deep learning algorithms in OpenNLP.
> Possible experiments can include using recurrent and / or convolutional neural networks for NER, language detection, document categorization, etc.
> We could just leverage such algorithms during the training phase and let the prediction phase as it is, as ti minimize impact on API / users.
> From the tooling perspective we could start experimenting with DeepLearning4J and Nd4j.



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