We propose a novel relation extraction model, the BERT-BiLSTM-Transformer network (BBTN), capable of extracting both flat and nested relations.
In this paper, we explore the problem of nested relations within the context of the economic field. To address the task of extracting nested relations in the ...
Request PDF | On Dec 17, 2023, Yifang Zhang and others published NREE: Nested Relation Extraction in the Economic Field | Find, read and cite all the ...
We formalize the nested RE task and propose a hierarchical neural network to iteratively identify the nested relations between entities and relation triples in ...
NREE: Nested Relation Extraction in the Economic Field · Economics, Computer Science. International Conference on Parallel and… · 2023.
Due to the complex nature of language, this kind of nested relations is expressed frequently, especially in professional documents in fields like economics, ...
Due to the complex nature of language, this kind of nested relations is expressed frequently, especially in professional documents in fields like economics, ...
This paper innovatively proposes to use the relation extraction technology based on deep learning to process the information automatically, so as to solve ...
Complex relations are expressed in natural language frequently, especially in economics, finance, biomedicine and other fields where people need to express ...
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This article surveys different approaches and types of relation extraction in English and the most prominent proposed methods in Persian.