"Few-TK: A Dataset for Few-shot Scientific Typed Keyphrase Recognition."

Avishek Lahiri et al. (2024)

> Home

Details and statistics

DOI: 10.18653/V1/2024.FINDINGS-NAACL.253

access: open

type: Conference or Workshop Paper

metadata version: 2024-09-11

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - conf/naacl/LahiriSSSM24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/naacl/LahiriSSSM24
Avishek Lahiri, Pratyay Sarkar, Medha Sen, Debarshi Kumar Sanyal, Imon Mukherjee:
Few-TK: A Dataset for Few-shot Scientific Typed Keyphrase Recognition. NAACL-HLT (Findings) 2024: 4011-4025

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.