"Køpsala: Transition-Based Graph Parsing via Efficient Training and ..."

Daniel Hershcovich et al. (2020)

> Home

Details and statistics

DOI: 10.18653/V1/2020.IWPT-1.25

access: open

type: Conference or Workshop Paper

metadata version: 2021-08-06

- view
  - electronic edition via DOI (open access)
  - electronic edition @ aclanthology.org (open access)
  authority control:
- export record
  dblp key:
  - conf/iwpt/HershcovichLKPN20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iwpt/HershcovichLKPN20
Daniel Hershcovich, Miryam de Lhoneux, Artur Kulmizev, Elham Pejhan, Joakim Nivre:
Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding. IWPT 2020 2020: 236-244

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.