TY - GEN
T1 - Automatic term name generation for gene ontology
T2 - Findings of the Association for Computational Linguistics, ACL 2020: EMNLP 2020
AU - Zhang, Yanjian
AU - Chen, Qin
AU - Zhang, Yiteng
AU - Gao, Yixu
AU - Wei, Zhongyu
AU - Peng, Jiajie
AU - Huang, Zengfeng
AU - Sun, Weijian
AU - Huang, Xuanjing
N1 - Publisher Copyright:
© 2020 Association for Computational Linguistics
PY - 2020
Y1 - 2020
N2 - Terms contained in Gene Ontology (GO) have been widely used in biology and bio-medicine. Most previous research focuses on inferring new GO terms, while the term names that reflect the gene function are still named by the experts. To fill this gap, we propose a novel task, namely term name generation for GO, and build a large-scale benchmark dataset. Furthermore, we present a graph-based generative model that incorporates the relations between genes, words and terms for term name generation, which exhibits great advantages over the strong baselines.
AB - Terms contained in Gene Ontology (GO) have been widely used in biology and bio-medicine. Most previous research focuses on inferring new GO terms, while the term names that reflect the gene function are still named by the experts. To fill this gap, we propose a novel task, namely term name generation for GO, and build a large-scale benchmark dataset. Furthermore, we present a graph-based generative model that incorporates the relations between genes, words and terms for term name generation, which exhibits great advantages over the strong baselines.
UR - http://www.scopus.com/inward/record.url?scp=85118454810&partnerID=8YFLogxK
M3 - 会议稿件
AN - SCOPUS:85118454810
T3 - Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020
SP - 4705
EP - 4710
BT - Findings of the Association for Computational Linguistics Findings of ACL
PB - Association for Computational Linguistics (ACL)
Y2 - 16 November 2020 through 20 November 2020
ER -