Papers with end-to-end RE

1 papers
Let’s Stop Incorrect Comparisons in End-to-end Relation Extraction! (2020.emnlp-main)

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Challenge: Existing literature on Relation Extraction (RE) uses multiple evaluation setups to compare performance.
Approach: They propose to quantify the most common comparison mistake and evaluate it leads to overestimating the final RE performance by around 5% on ACE05.
Outcome: The proposed meta-analysis overestimates the final RE performance by around 5% on ACE05.

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