AVALIAÇÃO DA COERÊNCIA EM INSTRUÇÃO MULTIMODAL DE MATERIAL AUDIOVISUAL
Flávia Karolina Lima-Duarte+1 more
openalex +2 more sources
Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective [PDF]
Multimodal affective computing (MAC) has garnered increasing attention due to its broad applications in analyzing human behaviors and intentions, especially in text-dominated multimodal affective computing field. This survey presents the recent trends of multimodal affective computing from NLP perspective through four hot tasks: multimodal sentiment ...
arxiv
Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation [PDF]
In specific domains like fashion, music, and movie recommendation, the multi-faceted features characterizing products and services may influence each customer on online selling platforms differently, paving the way to novel multimodal recommendation models that can learn from such multimodal content.
arxiv
Exploring Academic Voice in Multimodal Quantitative Texts
Robert Prince, Arlene Archer
openalex +2 more sources
Multimodal characterization of population responses evoked by applied electric field in vitro: extracellular potential, magnetic evoked field, transmembrane potential, and current-source density analysis [PDF]
L. López+3 more
openalex +1 more source
M$^{3}$D: A Multimodal, Multilingual and Multitask Dataset for Grounded Document-level Information Extraction [PDF]
Multimodal information extraction (IE) tasks have attracted increasing attention because many studies have shown that multimodal information benefits text information extraction. However, existing multimodal IE datasets mainly focus on sentence-level image-facilitated IE in English text, and pay little attention to video-based multimodal IE and fine ...
arxiv
Parallel solution of Hough transform and convolution problems—a novel multimodal approach [PDF]
Lan Jin, Lan Yang
openalex +1 more source
Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction [PDF]
Multimodal information extraction on social media is a series of fundamental tasks to construct the multimodal knowledge graph. The tasks aim to extract the structural information in free texts with the incorporate images, including: multimodal named entity typing and multimodal relation extraction.
arxiv