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1
Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02600-2
Abstract: The task of extracting entities and relations has evolved from distributed extraction to joint extraction. The joint model overcomes the disadvantages of distributed extraction method and strengthens the information interaction between entities and relations. However,…
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Keywords:
extraction entities;
joint extraction;
attention;
entities relations ... See more keywords
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0
Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02667-x
Abstract: Joint extraction of entities and relations is to recognize entities and semantic relations simultaneously, which is significant for knowledge graph construction. Recently, many effective joint models use dependency trees to capture the structural information of…
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Keywords:
information;
convolutional networks;
graph convolutional;
joint extraction ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3232493
Abstract: As an important research field of artificial intelligence, knowledge graph develops rapidly, and triplet extraction is the key to the construction of a knowledge graph. The traditional pipeline extraction method will bring the error of…
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Keywords:
entity;
method entity;
extraction;
joint extraction ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0260426
Abstract: Joint extraction from unstructured text aims to extract relational triples composed of entity pairs and their relations. However, most existing works fail to process the overlapping issues that occur when the same entities are utilized…
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Keywords:
exclusive binary;
cross tagging;
joint extraction;
framework ... See more keywords