Platforms for Non-speakers Annotating Names in Any Language
Ying Lin, Cash Costello, Boliang Zhang, Di Lu, Heng Ji, James Mayfield, Paul McNamee
Abstract
We demonstrate two annotation platforms that allow an English speaker to annotate names for any language without knowing the language. These platforms provided high-quality ’‘silver standard” annotations for low-resource language name taggers (Zhang et al., 2017) that achieved state-of-the-art performance on two surprise languages (Oromo and Tigrinya) at LoreHLT20171 and ten languages at TAC-KBP EDL2017 (Ji et al., 2017). We discuss strengths and limitations and compare other methods of creating silver- and gold-standard annotations using native speakers. We will make our tools publicly available for research use.- Anthology ID:
- P18-4001
- Volume:
- Proceedings of ACL 2018, System Demonstrations
- Month:
- July
- Year:
- 2018
- Address:
- Melbourne, Australia
- Editors:
- Fei Liu, Thamar Solorio
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1–6
- Language:
- URL:
- https://aclanthology.org/P18-4001
- DOI:
- 10.18653/v1/P18-4001
- Cite (ACL):
- Ying Lin, Cash Costello, Boliang Zhang, Di Lu, Heng Ji, James Mayfield, and Paul McNamee. 2018. Platforms for Non-speakers Annotating Names in Any Language. In Proceedings of ACL 2018, System Demonstrations, pages 1–6, Melbourne, Australia. Association for Computational Linguistics.
- Cite (Informal):
- Platforms for Non-speakers Annotating Names in Any Language (Lin et al., ACL 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/P18-4001.pdf