Publications

Please visit my Google Scholar profile to see my latest publications.

UMR-Writer 2.0: Incorporating a New Keyboard Interface and Workflow into UMR-Writer

Sijia Ge, Jin Zhao, Kristin Wright-bettner, Skatje Myers, Nianwen Xue, and Martha Palmer. 2023. UMR-Writer 2.0: Incorporating a New Keyboard Interface and Workflow into UMR-Writer. In Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII), pages 211–219, Toronto, Canada. Association for Computational Linguistics.

Integration of Named Entity Recognition and Sentence Segmentation on Ancient Chinese based on Siku-BERT

Sijia Ge. 2022. Integration of Named Entity Recognition and Sentence Segmentation on Ancient Chinese based on Siku-BERT. In Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities, pages 167–173, Taipei, Taiwan. Association for Computational Linguistics.

An Easier and Efficient Framework to Annotate Semantic Roles: Evidence from the Chinese AMR Corpus

Li Song, Yuan Wen, Sijia Ge, Bin Li, Junsheng Zhou, Weiguang Qu and Nianwen Xue. An Easier and Efficient Framework to Annotate Semantic Roles: Evidence from the Chinese AMR Corpus.The 13th Workshop on Asian Language Resources on LREC 2018. Miyazaki, Japan, May 07, 2018:29-35.

The Construction and Analysis of Annotated Imagery Corpus of Three Hundred Tang Poems

Xingyue Hao, **Sijia Ge***, Yang Zhang, Yuling Dai, Peiyi Yan, and Bin Li. The Construction and Analysis of Annotated Imagery Corpus of Three Hundred Tang Poems. *J.-F. Hong et al. (Eds.): Proceedings of the 20th Chinese Lexical Semantics Workshop (CLSW 2019)*, LNAI 11831, pp. 517–524, 2020.

Integration of Automatic Sentence Segmentation and Lexical Analysis of Ancient Chinese based on BiLSTM-CRF Model

Ning Cheng, Bin Li, Liming Xiao, Changwei Xu, **Sijia Ge**, Xingyue Hao, Minxuan Feng. Integration of Automatic Sentence Segmentation and Lexical Analysis of Ancient Chinese based on BiLSTM-CRF Model. *Proceedings of LT4HALA 2020 - 1st Workshop on Language Technologies for Historical and Ancient Languages*. Marseille, France,2020:52-58.

patent

A Method and System of Automatic Lexical Analysis for Ancient Chinese. (the 3 rd applicant).2019. No.CN201910085019.3