- An Analysis of Open Information Extraction based on Semantic Role Labeling

In SmallCorpus, SRL-IE-Lund has the highest precision. Taking the union of the SRL systems and the higher precision results from TextRunner achieves the highest recall and F-measure. Both SRL-based systems require over an order of magnitude more processing time. The bold values indicate the highest values for the metric and relation-type.

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Reference

An Analysis of Open Information Extraction based on Semantic Role Labeling - Scientific Figure on ResearchGate. Available from: https://www.researchgate.net/figure/In-SmallCorpus-SRL-IE-Lund-has-the-highest-precision-Taking-the-union-of-the-SRL_tbl1_220916798 [accessed 27 Apr 2025]

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In SmallCorpus, SRL-IE-Lund has the highest precision. Taking the union of the SRL systems and the higher precision results from TextRunner achieves the highest recall and F-measure. Both SRL-based systems require over an order of magnitude more processing time. The bold values indicate the highest values for the metric and relation-type.

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<a href="https://www.researchgate.net/figure/In-SmallCorpus-SRL-IE-Lund-has-the-highest-precision-Taking-the-union-of-the-SRL_tbl1_220916798"><img src="https://www.researchgate.net/profile/Mausam-Mausam/publication/220916798/figure/tbl1/AS:1058599501574144@1629401197003/In-SmallCorpus-SRL-IE-Lund-has-the-highest-precision-Taking-the-union-of-the-SRL.png" alt="In SmallCorpus, SRL-IE-Lund has the highest precision. Taking the union of the SRL systems and the higher precision results from TextRunner achieves the highest recall and F-measure. Both SRL-based systems require over an order of magnitude more processing time. The bold values indicate the highest values for the metric and relation-type."/></a>