TY - JOUR
T1 - Correction to
T2 - Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot (Information Systems Frontiers, (2024), 26, 1, (137-156), 10.1007/s10796-022-10295-0)
AU - Ni, Pin
AU - Okhrati, Ramin
AU - Guan, Steven
AU - Chang, Victor
N1 - Publisher Copyright:
© 2022, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2024/2
Y1 - 2024/2
N2 - 1. To avoid confusion, all abbreviations “GQL” throughout the text should be standardized as “GraphQL”, and the word “Graph Query Language” in the first sentence of the abstract should be standardized as “Graph + QL (Query Language)”. Also, it should be emphasized that the “Neo4j GraphQL Library” (with Cypher) is one of the necessary components. 2. Due to a typesetting mistake, the title of Section 4.1.2 Spider Dataset should be “4.1.2 Other Datasets used to Test the Effect of the Model”. The original version has been corrected.
AB - 1. To avoid confusion, all abbreviations “GQL” throughout the text should be standardized as “GraphQL”, and the word “Graph Query Language” in the first sentence of the abstract should be standardized as “Graph + QL (Query Language)”. Also, it should be emphasized that the “Neo4j GraphQL Library” (with Cypher) is one of the necessary components. 2. Due to a typesetting mistake, the title of Section 4.1.2 Spider Dataset should be “4.1.2 Other Datasets used to Test the Effect of the Model”. The original version has been corrected.
UR - http://www.scopus.com/inward/record.url?scp=85135776734&partnerID=8YFLogxK
U2 - 10.1007/s10796-022-10319-9
DO - 10.1007/s10796-022-10319-9
M3 - Comment/debate
AN - SCOPUS:85135776734
SN - 1387-3326
VL - 26
SP - 157
JO - Information Systems Frontiers
JF - Information Systems Frontiers
IS - 1
ER -