@inproceedings{alikhani-stone-2019-caption,
    title = "{\textquotedblleft}Caption{\textquotedblright} as a Coherence Relation: Evidence and Implications",
    author = "Alikhani, Malihe  and
      Stone, Matthew",
    editor = "Bernardi, Raffaella  and
      Fernandez, Raquel  and
      Gella, Spandana  and
      Kafle, Kushal  and
      Kanan, Christopher  and
      Lee, Stefan  and
      Nabi, Moin",
    booktitle = "Proceedings of the Second Workshop on Shortcomings in Vision and Language",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/W19-1806/",
    doi = "10.18653/v1/W19-1806",
    pages = "58--67",
    abstract = "We study verbs in image{--}text corpora, contrasting \textit{caption} corpora, where texts are explicitly written to characterize image content, with \textit{depiction} corpora, where texts and images may stand in more general relations. Captions show a distinctively limited distribution of verbs, with strong preferences for specific tense, aspect, lexical aspect, and semantic field. These limitations, which appear in data elicited by a range of methods, restrict the utility of caption corpora to inform image retrieval, multimodal document generation, and perceptually-grounded semantic models. We suggest that these limitations reflect the discourse constraints in play when subjects write texts to accompany imagery, so we argue that future development of image{--}text corpora should work to increase the diversity of event descriptions, while looking explicitly at the different ways text and imagery can be coherently related."
}