Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Original language	English
Title of host publication	Proceedings of the 5th International Workshop on Health Intelligence (W3PHIAI-21)
Publication status	Published - May 2021

Cite this

@inproceedings{aaf0e8a0cb864036b0fa841b9cb36c30,

title = "Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies",

author = "Beatrice Portelli and Daniele Passabi and Edoardo Lenzi and Giuseppe Serra and Enrico Santus and Emmanuele Chersoni",

year = "2021",

month = may,

language = "English",

booktitle = "Proceedings of the 5th International Workshop on Health Intelligence (W3PHIAI-21)",

}

Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies. / Portelli, Beatrice; Passabi, Daniele; Lenzi, Edoardo et al.
Proceedings of the 5th International Workshop on Health Intelligence (W3PHIAI-21). 2021.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies

AU - Portelli, Beatrice

AU - Passabi, Daniele

AU - Lenzi, Edoardo

AU - Serra, Giuseppe

AU - Santus, Enrico

AU - Chersoni, Emmanuele

PY - 2021/5

Y1 - 2021/5

UR - https://arxiv.org/pdf/2105.08882.pdf

M3 - Conference article published in proceeding or book

BT - Proceedings of the 5th International Workshop on Health Intelligence (W3PHIAI-21)

ER -