Papers with multi-task modeling approach
A Multi-task Approach to Learning Multilingual Representations (P18-2)
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| Challenge: | Using a multi-task model, we learn word and sentence embeddings in a single task. |
| Approach: | They propose a multi-task modeling approach that trains a skip-gram model and a cross-lingual sentence similarity model to learn word and sentence embeddings together. |
| Outcome: | The proposed model can learn word and sentence embeddings in a multilingual distributed representations of text using a cross-lingual sentence similarity model. |