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Trained models for multi-task multi-dataset learning for sequence prediction in tweets - Old Experiments
Cite this dataset:
Mishra, Shubhanshu (2020): Trained models for multi-task multi-dataset learning for sequence prediction in tweets - Old Experiments. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4520270_V1
Dataset Description

Trained models for multi-task multi-dataset learning for sequence prediction in tweets
Tasks include POS, NER, Chunking, and SuperSenseTagging

Models were trained using: https://github.com/napsternxg/SocialMediaIE/blob/master/experiments/multitask_multidataset_experiment.py
See https://github.com/napsternxg/SocialMediaIE for details.

Subject Social Sciences
Keywords twitter; deep learning; machine learning; trained models; multi-task learning; multi-dataset learning;
License CC BY
Corresponding Creator Shubhanshu Mishra
Downloaded 4200 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-4520270_V1 2020-05-15
Files associated with this dataset are being processed for availability via Globus. This is expected to complete within a few hours of publication. Contact the Research Data Service with any questions.

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Contact the Research Data Service for help interpreting this log.

Creator update: {"family_name"=>["SHUBHANSHU", "Mishra"], "given_name"=>["MISHRA", "Shubhanshu "]} 2020-05-18T22:18:28Z
Dataset update: {"version_comment"=>[nil, ""], "subject"=>[nil, "Social Sciences"], "corresponding_creator_name"=>["MISHRA SHUBHANSHU", "Shubhanshu Mishra"]} 2020-05-18T22:18:28Z
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