Abstract
We present a new approach to harvesting a large-scale, high quality image-caption corpus that makes a better use of already existing web data with no additional human efforts. The key idea is to focus on Déjà Image-Captions: naturally existing image descriptions that are repeated almost verbatim-by more than one individual for different images. The resulting corpus provides association structure between 4 million images with 180K unique captions, capturing a rich spectrum of everyday narratives including figurative and pragmatic language. Exploring the use of the new corpus, we also present new conceptual tasks of visually situated paraphrasing, creative image captioning, and creative visual paraphrasing.
Cite
CITATION STYLE
Chen, J., Kuznetsova, P., Warren, D. S., & Choi, Y. (2015). Déjà image-captions: A corpus of expressive descriptions in repetition. In NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 504–514). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/n15-1053
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
