Illinois Data Bank - Dataset

Trained models for multi-task multi-dataset learning for sequence prediction in tweets
Cite this dataset:
Mishra, Shubhanshu (2019): Trained models for multi-task multi-dataset learning for sequence prediction in tweets. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0934773_V1
Dataset Description

Trained models for multi-task multi-dataset learning for sequence tagging in tweets.
Sequence tagging tasks include POS, NER, Chunking, and SuperSenseTagging.

Models were trained using: https://github.com/socialmediaie/SocialMediaIE/blob/master/SocialMediaIE/scripts/multitask_multidataset_experiment.py
See https://github.com/socialmediaie/SocialMediaIE and https://socialmediaie.github.io for details.

If you are using this data, please also cite the related article:
Shubhanshu Mishra. 2019. Multi-dataset-multi-task Neural Sequence Tagging for Information Extraction from Tweets. In Proceedings of the 30th ACM Conference on Hypertext and Social Media (HT '19). ACM, New York, NY, USA, 283-284. DOI: https://doi.org/10.1145/3342220.3344929
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 2651 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-0934773_V1 2019-09-17

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Contact the Research Data Service for help interpreting this log.

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Dataset update: {"description"=>["Trained models for multi-task multi-dataset learning for sequence tagging in tweets \r\nSequence tagging tasks include POS, NER, Chunking, and SuperSenseTagging.\r\n\r\nModels were trained using: https://github.com/socialmediaie/SocialMediaIE/blob/master/SocialMediaIE/scripts/multitask_multidataset_experiment.py\r\nSee https://github.com/socialmediaie/SocialMediaIE and https://socialmediaie.github.io for details.\r\n\r\nIf you are using this data pleace cite: \r\nShubhanshu Mishra. 2019. Multi-dataset-multi-task Neural Sequence Tagging for Information Extraction from Tweets. In Proceedings of the 30th ACM Conference on Hypertext and Social Media (HT '19). ACM, New York, NY, USA, 283-284. DOI: https://doi.org/10.1145/3342220.3344929", "Trained models for multi-task multi-dataset learning for sequence tagging in tweets.\r\nSequence tagging tasks include POS, NER, Chunking, and SuperSenseTagging.\r\n\r\nModels were trained using: <a href=\"https://github.com/socialmediaie/SocialMediaIE/blob/master/SocialMediaIE/scripts/multitask_multidataset_experiment.py\">https://github.com/socialmediaie/SocialMediaIE/blob/master/SocialMediaIE/scripts/multitask_multidataset_experiment.py</a>\r\nSee <a href=\"https://github.com/socialmediaie/SocialMediaIE\">https://github.com/socialmediaie/SocialMediaIE</a> and <a href=\"https://socialmediaie.github.io\">https://socialmediaie.github.io</a> for details.\r\n\r\nIf you are using this data, please also cite the related article: \r\nShubhanshu Mishra. 2019. Multi-dataset-multi-task Neural Sequence Tagging for Information Extraction from Tweets. In Proceedings of the 30th ACM Conference on Hypertext and Social Media (HT '19). ACM, New York, NY, USA, 283-284. DOI: https://doi.org/10.1145/3342220.3344929"], "version_comment"=>[nil, ""], "subject"=>[nil, "Social Sciences"]} 2019-09-17T15:43:42Z