Semi-supervised generative open information extraction
Open Information Extraction (OpenIE) extracts facts in the form of n-ary relation tuples, i.e., (arg1, predicate, arg2, …, argn), from unstructured text without relying on predefined ontology schema. It has the potential to handle heterogeneous corpora with minimal human intervention. With OpenIE, W...
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| Format: | Thesis-Master by Research |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/171930 |