Papers with BART models

2 papers
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.

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