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- W4385570106 abstract "Humans often make creative use of words to expressnovel senses. A long-standing effort in natural language processing hasbeen focusing on word sense disambiguation (WSD), but little has been explored about how the sense inventory of a word may be extended toward novel meanings. We present a paradigm of word sense extension (WSE) thatenables words to spawn new senses toward novel context. We develop a framework that simulates novel word sense extension by first partitioning a polysemous word type into two pseudo-tokens that mark its different senses, and then inferring whether the meaning of a pseudo-token can be extended to convey the sense denoted by the token partitioned from the same word type. Our framework combines cognitivemodels of chaining with a learning scheme that transforms a language model embedding space to supportvarious types of word sense extension. We evaluate our frameworkagainst several competitive baselines and show that it is superior in predicting plausible novel senses for over 7,500 English words. Furthermore, we show that our WSE framework improves performance over a range of transformer-based WSD models in predicting rare word senses with few or zero mentions in the training data." @default.
- W4385570106 created "2023-08-05" @default.
- W4385570106 creator A5067222034 @default.
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- W4385570106 date "2023-01-01" @default.
- W4385570106 modified "2023-09-23" @default.
- W4385570106 title "Word sense extension" @default.
- W4385570106 doi "https://doi.org/10.18653/v1/2023.acl-long.184" @default.
- W4385570106 hasPublicationYear "2023" @default.
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