PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Li, Lishuang"

Author of the publication

copydeleteadd this publication to your clipboard
Associative attention networks for temporal relation extraction from electronic health records.

, , , , and . Journal of Biomedical Informatics, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Zheng Li University of Stuttgart

Jie Li University of Stuttgart

Li Zhong University of Stuttgart

 

Other publications of authors with the same name

The Protein-Protein Interaction extraction based on full texts., , , , and . BIBM, page 493-496. IEEE Computer Society, (2014)A novel ensemble classifier based on multiple diverse classification methods., , , , , and . FSKD, page 301-305. IEEE, (2014)Extracting chemical-protein interactions from biomedical literature via granular attention based recurrent neural networks., , , , and . Computer Methods and Programs in Biomedicine, (2019)An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining., , and . IEEE/ACM Trans. Comput. Biology Bioinform., 13 (4): 634-642 (2016)Extracting Biomedical Event Using Feature Selection and Word Representation., , , and . BioNLP (Shared Task), page 101. Association for Computational Linguistics, (2016)Protein-protein interaction extraction based on actively transfer learning., , , , and . BIBM, page 1717. IEEE Computer Society, (2015)A Hybrid Model Based on CRFs for Chinese Named Entity Recognition., , , and . ALPIT, page 127-132. IEEE Computer Society, (2008)Biomedical Event Trigger Detection Based on BiLSTM Integrating Attention Mechanism and Sentence Vector., , , , , and . BIBM, page 651-654. IEEE Computer Society, (2018)Hybrid Models for Chinese Named Entity Recognition., , , and . SIGHAN@COLING/ACL, page 72-78. Association for Computational Linguistics, (2006)Identifying Pronunciation-Translated Names from Chinese Texts Based on Support Vector Machines., , , and . ISNN (1), volume 3173 of Lecture Notes in Computer Science, page 983-987. Springer, (2004)