Papers with information representation
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network (N18-2)
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| Challenge: | Abstractive text summarization models are hard to be controlled in the process of generation, which leads to a lack of key information. |
| Approach: | They propose a guiding generation model that combines extractive and abstractive methods to generate text summarization. |
| Outcome: | The proposed model improves on the CNN/Daily Mail dataset. |
Hierarchical Processing of Visual and Language Information in the Brain (2022.findings-aacl)
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| Challenge: | In recent years, many studies have been conducted to elucidate the mechanism of information representation in the brain under stimuli evoked by various modalities. |
| Approach: | They constructed encoding models that predict brain activity based on features extracted from hidden layers of VGG16 for visual information and BERT for language information. |
| Outcome: | The proposed model predicts the brain activity of visual and language information in the cortex and shows that it is getting closer to that of BERT as VGG16 moves to higher layers, while the representational contents differ significantly between the two modalities. |
UniT: One Document, Many Revisions, Too Many Edit Intention Taxonomies (2025.findings-acl)
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| Challenge: | Current research on edit intentions lacks a comprehensive edit intention taxonomy (EIT) that spans multiple application domains. |
| Approach: | They propose a Unified edit intention taxonomy that integrates existing edit intentions and integrates them into a comprehensive edit intention Taxonomic. |
| Outcome: | The proposed taxonomy achieves higher inter-annotator agreement scores compared to existing taxonomies and is applicable to a large set of application domains. |