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# Cross-Encoder for Word
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This model
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The model can be used to detect
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The training code
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<b> Citation </b>
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# Cross-Encoder for Word-Sense Relationship Classification
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This model has been trained on word sense relations extracted from WordNet.
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The model can be used to detect what kind of relationships (among homonymy, antonymy, hypernonymy, hyponymy, and co-hyponymy) occur between word senses: Given a pair of word sense definitions, predict the sense relationship (homonymy, antonymy, hypernonymy, hyponymy, and co-hyponymy).
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The training code can be found here: [https://github.com/ChangeIsKey/change-type-classification](https://github.com/ChangeIsKey/change-type-classification)
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<b> Citation </b>
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