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University of Porto INESC TEC
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Classifying temporal relations is easier when you break it down: predicting relationships between endpoints first unlocks state-of-the-art performance on a challenging benchmark.
A new dataset of European Portuguese municipal meeting minutes with high-quality, manually crafted summaries finally enables research into summarizing complex administrative texts in a low-resource language.
