Papers with BART models
SPARQL-to-Text Question Generation for Knowledge-Based Conversational Applications (2022.aacl-main)
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| Challenge: | a paper focuses on the generation of natural language questions based on SPARQL queries . knowledge-based approaches have become popular in the field of question answering and dialogue . |
| Approach: | This paper focuses on the generation of natural language questions based on SPARQL queries . it uses 4 knowledge-based QA corpora homogenized for the task and a new challenge set is introduced . |
| Outcome: | The proposed task is based on the generation of questions in a conversational context. |
Does the structure of textual content have an impact on language models for automatic summarization? (2024.acl-srw)
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| Challenge: | Existing models for automatic summarization of long sequences suffer from context limitation. |
| Approach: | They propose to take into account textual information coming from distinct passages from the long texts to be summarized. |
| Outcome: | The proposed model improves on the performance of LongFormer on English. |