Event Knowledge in Compositional Distributional Semantics
The great majority of compositional models in distributional semantics present methods to compose vectors or tensors in a representation of the sentence. Here we propose to enrich one of the best performing methods (vector addition, which we take as a baseline) with distributional knowledge about ev...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Accademia University Press
2019-06-01
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| Series: | IJCoL |
| Online Access: | https://journals.openedition.org/ijcol/463 |
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| Summary: | The great majority of compositional models in distributional semantics present methods to compose vectors or tensors in a representation of the sentence. Here we propose to enrich one of the best performing methods (vector addition, which we take as a baseline) with distributional knowledge about events. The resulting model is able to outperform our baseline. |
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| ISSN: | 2499-4553 |