Data Augmentation Methods for Anaphoric Zero Pronouns
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Abstract (arXiv)
In pro-drop language like Arabic, Chinese, Italian, Japanese, Spanish, and many others, unrealized (null) arguments in certain syntactic positions can refer to a previously introduced entity, and are thus called anaphoric zero pronouns. The existing resources for studying anaphoric zero pronoun interpretation are however still limited. In this paper, we use five data augmentation methods to generate and detect anaphoric zero pronouns automatically. We use the augmented data as additional training materials for two anaphoric zero pronoun systems for Arabic. Our experimental results show that data augmentation improves the performance of the two systems, surpassing the state-of-the-art results.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 26 of its 89 references that are in the map. First posted on arXiv 20 Sep 2021.
Builds on
26 of 89 references.
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Citing papers per year: 2022: 1; 2023: 2.
3 papers.