"LAILab at Chemotimelines 2024: Finetuning sequence-to-sequence language ..."

Shohreh Haddadan et al. (2024)

> Home

Details and statistics

DOI: 10.18653/V1/2024.CLINICALNLP-1.37

access: open

type: Conference or Workshop Paper

metadata version: 2024-09-26

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - conf/acl-clinicalnlp/HaddadanLDT24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl-clinicalnlp/HaddadanLDT24
Shohreh Haddadan, Tuan-Dung Le, Thanh Duong, Thanh Thieu:
LAILab at Chemotimelines 2024: Finetuning sequence-to-sequence language models for temporal relation extraction towards cancer patient undergoing chemotherapy treatment. ClinicalNLP@NAACL 2024: 382-393

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.