"Item Response Theory for Efficient Human Evaluation of Chatbots."

João Sedoc, Lyle H. Ungar (2020)

> Home

Details and statistics

DOI: 10.18653/V1/2020.EVAL4NLP-1.3

access: closed

type: Conference or Workshop Paper

metadata version: 2024-08-04

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/eval4nlp/SedocU20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eval4nlp/SedocU20
João Sedoc, Lyle H. Ungar:
Item Response Theory for Efficient Human Evaluation of Chatbots. Eval4NLP 2020: 21-33

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.