Papers by Yinkai Wang
Dataset Geography: Mapping Language Data to Language Users (2022.acl-long)
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| Challenge: | linguistic diversity and coverage of natural language processing systems is a key factor in determining quality of data available in the language field . lack of linguistic, typological, and geographical diversity is acknowledged and documented . but, the advent of massively multilingual models presents opportunity and hope for under-represented languages . |
| Approach: | They analyze the geographical representativeness of NLP datasets to determine their utility . they also explore economic and geographical factors that may explain the observed distributions . |
| Outcome: | The proposed model is representative of the language diversity and coverage of natural language processing systems. |