activity
20222025
most citedCharon: a FrameNet Annotation Tool for Multimodal Corpora

5 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2025★ 1 cited

FutureVision: A methodology for the investigation of future cognition

Tiago Timponi Torrent, Mark Turner, Nicolás Hinrichs +5

This paper presents a methodology combining multimodal semantic analysis with an eye-tracking experimental protocol to investigate the cognitive effort involved in understanding th…

cs.CV2024

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark

David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo +73

Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used to test the ability of vision-language models to understand and reason on knowledge pres…

cs.CL2022★ 1 cited

Lutma: a Frame-Making Tool for Collaborative FrameNet Development

Tiago Timponi Torrent, Arthur Lorenzi, Ely Edison da Silva Matos +3

This paper presents Lutma, a collaborative, semi-constrained, tutorial-based tool for contributing frames and lexical units to the Global FrameNet initiative. The tool parameterize…

cs.CL2022★ 5 cited

Charon: a FrameNet Annotation Tool for Multimodal Corpora

Frederico Belcavello, Marcelo Viridiano, Ely Edison Matos +1

This paper presents Charon, a web tool for annotating multimodal corpora with FrameNet categories. Annotation can be made for corpora containing both static images and video sequen…

cs.CL2022★ 3 cited

The Case for Perspective in Multimodal Datasets

Marcelo Viridiano, Tiago Timponi Torrent, Oliver Czulo +3

This paper argues in favor of the adoption of annotation practices for multimodal datasets that recognize and represent the inherently perspectivized nature of multimodal communica…