Babelscape/rebel-dataset Benchmark (Relation Extraction)

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Relation Extraction is the task of predicting attributes and relations for entities in a sentence. For example, given a sentence “Barack Obama was born in Honolulu, Hawaii.”, a relation classifier aims at predicting the relation of “bornInCity”. Relation Extraction is the key component for building relation knowledge graphs, and it is of crucial significance to natural language processing applications such as structured search, sentiment analysis, question answering, and summarization.

Source: Deep Residual Learning for Weakly-Supervised Relation Extraction

The archive carries no text for this table; the description above is the archive's text for the task Relation Extraction. archive 2025-07-28

Results archive 2025-07-28

No rows in the archive for this table at snapshot 2025-07-28. It declares 1 metric (RE+ Macro F1) but no result was ever recorded against it. That says nothing about whether results exist elsewhere.

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