Papers with Open Information Extraction systems

2 papers
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction (2020.acl-main)

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Challenge: Existing methods for predicting knowledge graphs rely on the rich structure of the knowledge graph.
Approach: They propose an evaluation protocol and a methodology for creating the open link prediction benchmark OlpBench.
Outcome: The proposed model predicts test facts by completing questions in open link prediction task.
Revisiting the Task of Scoring Open IE Relations (L18-1)

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Challenge: Recent Open Information Extraction systems allow us to extract ever larger (yet incomplete) open-domain Knowledge Bases from text.
Approach: They propose a baseline model which gives competitive results in a previously defined protocol and provides an independent source of signal to judge arbitrary fact plausibility.
Outcome: The proposed model gives competitive results in the previously defined protocol and provides an independent source of signal to judge arbitrary fact plausibility.

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