Papers with fully-neural architecture
Neuralign: A Context-Aware, Cross-Lingual and Fully-Neural Sentence Alignment System for Long Texts (2024.eacl-long)
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| Challenge: | Existing sentence alignment systems focus on auxiliary information such as document metadata and hyperparameter-sensitive techniques, and neglect the crucial role that context plays in the alignment process. |
| Approach: | They propose a context-aware, end-to-end and fully-neural architecture for sentence alignment that maps source and target sentences in long documents by contextualizing their sentence embeddings with respect to the other sentences in the document. |
| Outcome: | The proposed system maps source and target sentences in long documents by contextualizing their sentence embeddings with respect to the other sentences in the document. |