Preprocessed Datasets for our Multimodal NER paper

Related tags

Deep LearningUMT
Overview

Unified Multimodal Transformer (UMT) for Multimodal Named Entity Recognition (MNER)

Two MNER Datasets and Codes for our ACL'2020 paper: Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer.

Author

Jianfei Yu

[email protected]

July 1, 2020

Data

Requirement

  • PyTorch 1.0.0
  • Python 3.7

Code Usage

Training for UMT

  • This is the training code of tuning parameters on the dev set, and testing on the test set. Note that you can change "CUDA_VISIBLE_DEVICES=2" based on your available GPUs.
sh run_mtmner_crf.sh
  • We show our running logs on twitter-2015 and twitter-2017 in the folder "log files". Note that the results are a little bit lower than the results reported in our paper, since the experiments were run on different servers.

Acknowledgements

  • Using these two datasets means you have read and accepted the copyrights set by Twitter and dataset providers.
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