Trained models for multi-task multi-dataset learning for sequence prediction in tweets

  • Shubhanshu Mishra (Creator)

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: <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>
See <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.

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
Date made availableSep 17 2019
PublisherUniversity of Illinois at Urbana-Champaign

Keywords

  • deep learning
  • trained models
  • multi-dataset learning
  • multi-task learning
  • machine learning
  • twitter

Cite this

Mishra, S. (Creator) (Sep 17 2019). Trained models for multi-task multi-dataset learning for sequence prediction in tweets. University of Illinois at Urbana-Champaign. 10.13012/B2IDB-0934773_V1