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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Bibliographic Details
Main Author: Zhou, Shaowen
Other Authors: Long Cheng
Format: Thesis-Master by Research
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/171930
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Institution: Nanyang Technological University
Language: English

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