| Challenge: | idiosyncrasies of the Chinese classifier system have been studied, but little work has been done to quantify them with statistical methods. |
| Approach: | They propose an information-theoretic approach to measuring idiosyncrasies in Mandarin Chinese by calculating the mutual information between the distribution over classifiers and distributions over other linguistic quantities. |
| Outcome: | The proposed method reduces uncertainty in Mandarin Chinese classifiers by knowing semantic information about nouns that they modify. |
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| Challenge: | Existing methods to detect cross-linguistic associations are not effective, but their effects are minor. |
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| Challenge: | Distributional Semantics has undergone significant changes with the introduction of contextualized distributional models. |
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Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation (2023.findings-acl)
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Mandarinograd: A Chinese Collection of Winograd Schemas (2020.lrec-1)
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| Challenge: | Mandarinograd is a corpus of Winograd Schemas in Mandarin Chinese . WS are hard to collect and few datasets are publicly available . |
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WikiHan: A New Comparative Dataset for Chinese Languages (2022.coling-1)
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| Challenge: | Currently, there are 1.3 billion speakers of Sinitic varieties, making the family one of the largest in terms of speaker count. |
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