Papers with large-scale dynamic lexicons

1 papers
DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling (2021.emnlp-main)

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Challenge: Existing approaches to integrate lexical knowledge into deep learning models are limited by large-scale dynamic lexicons.
Approach: They propose a plug-in lexicon incorporation approach for BERT based sequence labeling tasks . they adopt word-agnostic tag embeddings to avoid re-training the representation .
Outcome: The proposed framework achieves new SOTA even with large scale lexicons, the authors show . they adopt word-agnostic tag embeddings to avoid re-training the representation .

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