Trained models for multi-task multi-dataset learning for text classification in tweets
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https://databank.illinois.edu/datasets/IDB-1917934
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资源简介：
Trained models for multi-task multi-dataset learning for text classification in tweets.
Classification tasks include sentiment prediction, abusive content, sarcasm, and veridictality.
Models were trained using: https://github.com/socialmediaie/SocialMediaIE/blob/master/SocialMediaIE/scripts/multitask_multidataset_classification.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
提供机构：
University of Illinois at Urbana-Champaign
创建时间：
2019-09-17
