Papers with sequential modelling of word vectors

1 papers
Sequential Modelling of the Evolution of Word Representations for Semantic Change Detection (2020.emnlp-main)

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Challenge: Existing models that detect semantically shifted words do not account for its evolution through time.
Approach: They propose three variants of sequential models for detecting semantically shifted words . they demonstrate that temporal modelling of word representations yields a clear-cut advantage .
Outcome: The proposed models account for the changes in word representations over time.

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