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ThinkMind // SEMAPRO 2020, The Fourteenth International Conference on Advances in Semantic Processing // View article semapro_2020_2_40_30017


Pynsett: a Programmable Relation Extractor

Authors:
Alberto Cetoli

Keywords: Relation Extraction; Semantic Graphs.

Abstract:
This paper proposes a programmable relation extraction method for the English language by parsing texts into semantic graphs. A person can define rules in plain English that act as matching patterns onto the graph representation. These rules are designed to capture the semantic content of the documents, allowing for flexibility and ad-hoc entities. Relation extraction is a complex task that typically requires sizable training corpora. The method proposed here is ideal for extracting specialized ontologies in a limited collection of documents.

Pages: 45 to 48

Copyright: Copyright (c) IARIA, 2020

Publication date: October 25, 2020

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-61208-813-6

Location: Nice, France

Dates: from October 25, 2020 to October 29, 2020

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