Integrating Text and Image: Determining Multimodal Document Intent in
Instagram Posts

Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts

19 April 2019

Dan Jurafsky

Papers citing "Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts"

7 / 7 papers shown

Title
Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark Hanlei Zhang Zhuohang Li Yeshuang Zhu Hua Xu Peiwu Wang Haige Zhu Jie Zhou Jinchao Zhang 27 0 0 23 Apr 2025
SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-modal Intent Detection Shijue Huang Libo Qin Bingbing Wang Geng Tu Ruifeng Xu 13 4 0 31 Dec 2023
Understanding Social Media Cross-Modality Discourse in Linguistic Space Chunpu Xu Hanzhuo Tan Jing Li Piji Li 11 5 0 26 Feb 2023
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining Zhexiong Liu M. Guo Y. Dai Diane Litman 16 15 0 14 Sep 2022
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset Hannah Rose Kirk Yennie Jun Paulius Rauba Gal Wachtel Ruining Li Xingjian Bai Noah Broestl Martin Doff-Sotta Aleksandar Shtedritski Yuki M. Asano 16 25 0 09 Jul 2021
Exploring Visual Engagement Signals for Representation Learning Menglin Jia Zuxuan Wu A. Reiter Claire Cardie Serge J. Belongie Ser-Nam Lim 19 60 0 15 Apr 2021
Clue: Cross-modal Coherence Modeling for Caption Generation Malihe Alikhani Piyush Sharma Shengjie Li Radu Soricut Matthew Stone 17 56 0 02 May 2020