Frame evocation from visual data is an essential process for multimodal sensemaking, due
to the multimodal abstraction provided by frame semantics. However, there is a scarcity of …

AI can assist the linguist in doing research on the structure of language. This Element
illustrates this possibility by showing how a conversational AI based on a Large Language …

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 …

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

Inquiry into the field of artificial intelligence (machines) and its potential to develop
consciousness is presented in this study. This investigation explores the complex issues …

This study aims to determine the effectiveness of clustering strategies in the analysis of
framing aspects in MMNs with regard to the Belt and Road Initiative (BRI). This paper seeks …

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

This work assumes that languages are structured by semantic frames, which are schematic
representations of concepts. Metaphors, on the other hand, are cognitive projections …

FrameNet (FN) resources have existed for many languages for over a decade but their
adoption in real world applications has been limited. To celebrate the 65 anniversary of Lars …

Dialogues are building blocks of tasks and non-tasks of communication, which happen
between objects in the universe. Each dialogue is a source of linguistic knowledge within a …