mlsanityData to 14 Oct 2026

Quantifying Discourse Support for Omitted Pronouns

arXiv 2209.07961 ↗First posted 16 Sep 2022cs.CLcited by 1

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Abstract (arXiv)

Pro-drop is commonly seen in many languages, but its discourse motivations have not been well characterized. Inspired by the topic chain theory in Chinese, this study shows how character-verb usage continuity distinguishes dropped pronouns from overt references to story characters. We model the choice to drop vs. not drop as a function of character-verb continuity. The results show that omitted subjects have higher character history-current verb continuity salience than non-omitted subjects. This is consistent with the idea that discourse coherence with a particular topic, such as a story character, indeed facilitates the omission of pronouns in languages and contexts where they are optional.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 22 references that are in the map. First posted on arXiv 16 Sep 2022.

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5 of 22 references.

References · 5

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
  3. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  4. 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 723
  5. 2018Analogical Reasoning on Chinese Morphological and Semantic Relationscited by 50

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