"Which Types of Word Embedding Models are More Effective for Novelty ..."

Wenqing Wu, Chengzhi Zhang, Yi Zhao (2024)

> Home

Details and statistics

DOI: 10.1145/3677389.3702491

access: closed

type: Conference or Workshop Paper

metadata version: 2025-05-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/jcdl/WuZZ24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/jcdl/WuZZ24
Wenqing Wu, Chengzhi Zhang, Yi Zhao:
Which Types of Word Embedding Models are More Effective for Novelty Measurement? JCDL 2024: 90:1-90:3

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.