RMAN: Relational multi-head attention neural network for joint extraction of entities and relations
Sign Up to like & getrecommendations! 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,… read more here.
Keywords: extraction entities; joint extraction; attention; entities relations ... See more keywords
Joint extraction of entities and overlapping relations by improved graph convolutional networks
Sign Up to like & getrecommendations! 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… read more here.
Keywords: information; convolutional networks; graph convolutional; joint extraction ... See more keywords
Joint Extraction Method for Spatial Relations in Chinese Geological Texts
Sign Up to like & getrecommendations! Published in 2025 at "Earth and Space Science"
DOI: 10.1029/2025ea004335
Abstract: Extracting spatial relations of geological entities is an important prerequisite for achieving natural language processing tasks such as geological knowledge question answering and semantic search, and is an important means to achieve structural reconstruction of… read more here.
Keywords: joint extraction; geological entity; chinese geological; extraction ... See more keywords
Research on Joint Extraction Method of Entity and Relation Triples Based on Hierarchical Cascade Labeling
Sign Up to like & getrecommendations! 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… read more here.
Keywords: entity; method entity; extraction; joint extraction ... See more keywords
Joint extraction of Chinese medical entities and relations based on RoBERTa and single-module global pointer
Sign Up to like & getrecommendations! Published in 2024 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-024-02577-1
Abstract: Most Chinese joint entity and relation extraction tasks in medicine involve numerous nested entities, overlapping relations, and other challenging extraction issues. In response to these problems, some traditional methods decompose the joint extraction task into… read more here.
Keywords: joint extraction; global pointer; entities relations; extraction ... See more keywords
A mutually-exclusive binary cross tagging framework for joint extraction of entities and relations
Sign Up to like & getrecommendations! 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… read more here.
Keywords: exclusive binary; cross tagging; joint extraction; framework ... See more keywords