Trained models for multi-task multi-dataset learning for sequence prediction in tweets
Citation:
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
Persistent link for this dataset:
Related Code Shubhanshu Mishra. "SocialMediaIE". Github. 2019. https://github.com/socialmediaie/SocialMediaIE
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
Related Presentation Mishra, S., Diesner J., Hands on advanced machine learning for information extraction from tweets tasks, data, and open source tools. Sep, 2019
Related Presentation Mishra, S., Rezapour, R. & Diesner, J. (2020). Social Media Information Extraction Tutorials
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 1831 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.

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