Composing Structure-Aware Batches for Pairwise Sentence Classification (2022.findings-acl)
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| Challenge: | Identifying the relation between two sentences requires datasets with pairwise annotations. |
| Approach: | They propose three batch composition strategies to incorporate such information and measure their performance over 14 heterogeneous pairwise sentence classification tasks. |
| Outcome: | The proposed methods show that the pre-trained language model can benefit from having such structural information in a low-resource setting. |
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Contrasting distinct structured views to learn sentence embeddings (2021.eacl-srw)
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| Challenge: | Existing methods to build sentence embeddings rely on a similar Recurrent Neural Network (RNN) heterogeneity of performances across models and tasks makes us assume some structures might be better adapted given the considered task or sentence. |
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