SemSynJE: Semantic and syntactic enhanced joint extraction of entity and relation for sheep disease prevention and treatment-Reference-Cited by-同舟云学术

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SemSynJE: Semantic and syntactic enhanced joint extraction of entity and relation for sheep disease prevention and treatment

Published:2025-10 Issue: Volume:237 Page:110607
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Gao Yunfan,Li Xiaopeng,Wang Meili,Li Shuqin

Funder

National Key Research and Development Program of China

Northwest A&F University

Publisher

Elsevier BV

Reference56 articles.

1. Diakg: An annotated diabetes dataset for medical knowledge graph construction;Chang,2021

2. Named entity recognition with bidirectional LSTM-CNNs;Chiu;Trans. Assoc. Comput. Linguist.,2016

3. BERT: Pre-training of deep bidirectional transformers for language understanding;Devlin,2019

4. Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review;Fraile Navarro;Int. J. Med. Informatics,2023

5. GraphRel: Modeling text as relational graphs for joint entity and relation extraction;Fu,2019

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