Papers with named entity recognition methods

1 papers
A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition (2022.emnlp-main)

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Challenge: Existing methods for named entity recognition on social media are not efficient for semi-supervised MNER because of the mismatch between the posted text and image.
Approach: They propose a novel method to fuse the text and image features for multimodal named entity recognition under semi-supervised setting by exploiting modal-specific VAEs.
Outcome: The proposed method outperforms baselines under supervised setting and improves performance with less labeled data than existing semi-supervised methods.

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