Papers with relation discrimination

2 papers
Factual Relation Discrimination for Factuality-oriented Abstractive Summarization (2023.findings-emnlp)

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Challenge: Existing factuality-oriented abstractive summarization models only consider the integration of factual information and ignore the causes of factuual errors.
Approach: They propose a factuality-oriented abstractive summarization model that can identify the causes of factual errors.
Outcome: The proposed model outperforms state-of-the-art models in factual metrics.
Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering (2023.acl-long)

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Challenge: Existing commonsense question answering models incur prohibitive computation costs and poor interpretability .
Approach: They propose a parameter efficient tuning network to pair PLMs with external knowledge for commonsense question answering.
Outcome: The proposed adapter integrates entity- and query-related knowledge at a small cost.

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