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Found 3 papers, 1 papers with code
Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework
To address this problem, we are the first to manually annotate a FEC dataset for dialogue summarization containing 4000 items and propose FERRANTI, a fine-grained evaluation framework based on reference correction that automatically evaluates the performance of FEC models on different error categories.
Do recommender systems function in the health domain: a system review
Recommender systems have fulfilled an important role in everyday life.
Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records
To the best of our knowledge, this is the first annotated corpus concerning CVD risk factors in CEMRs and the guidelines for capturing CVD risk factor annotations from CEMRs were proposed.
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