Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"PIE-QG: Paraphrased Information Extraction for Unsupervised Question ..."

Dinesh Nagumothu et al. (2022)

> Home

Details and statistics

DOI: 10.18653/V1/2022.CONLL-1.24

access: open

type: Conference or Workshop Paper

metadata version: 2024-04-12

- view
  - electronic edition via DOI (open access)
  - electronic edition @ aclanthology.org (open access)
  authority control:
- export record
  dblp key:
  - conf/conll/NagumothuOHE22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/conll/NagumothuOHE22
Dinesh Nagumothu, Bahadorreza Ofoghi, Guangyan Huang, Peter W. Eklund:
PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora. CoNLL 2022: 350-359

a service of

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.