activity
20222026
most citedCharon: a FrameNet Annotation Tool for Multimodal Corpora

5 citations · 10 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CL2026

Evaluating FrameNet-Based Semantic Modeling for Gender-Based Violence Detection in Clinical Records

Lívia Dutra, Arthur Lorenzi, Frederico Belcavello +8

Gender-based violence (GBV) is a major public health issue, with the World Health Organization estimating that one in three women experiences physical or sexual violence by an inti…

cs.CL2025

Evaluating the Impact of LLM-Assisted Annotation in a Perspectivized Setting: the Case of FrameNet Annotation

Frederico Belcavello, Ely Matos, Arthur Lorenzi +8

The use of LLM-based applications as a means to accelerate and/or substitute human labor in the creation of language resources and dataset is a reality. Nonetheless, despite the po…

cs.CL2025

Frame Semantic Patterns for Identifying Underreporting of Notifiable Events in Healthcare: The Case of Gender-Based Violence

Lívia Dutra, Arthur Lorenzi, Laís Berno +10

We introduce a methodology for the identification of notifiable events in the domain of healthcare. The methodology harnesses semantic frames to define fine-grained patterns and se…

cs.CL2025

CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation

Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan +32

Translating cultural content poses challenges for machine translation systems due to the differences in conceptualizations between cultures, where language alone may fail to convey…

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…