"An Empirical Study of Skip-Gram Features and Regularization for Learning ..."

Cheng Li et al. (2016)

> Home

Details and statistics

DOI: 10.1007/978-3-319-30671-1_6

access: closed

type: Conference or Workshop Paper

metadata version: 2020-10-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ecir/LiWPA16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ecir/LiWPA16
Cheng Li, Bingyu Wang, Virgil Pavlu, Javed A. Aslam:
An Empirical Study of Skip-Gram Features and Regularization for Learning on Sentiment Analysis. ECIR 2016: 72-87

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.