Platforms for Non-speakers Annotating Names in Any Language

Ying Lin, Cash Costello, Boliang Zhang, Di Lu, Heng Ji, James Mayfield, Paul McNamee

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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
Bibkey:
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)
Copy Citation:
PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/P18-4001.pdf