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Exploring Semantic Spaces for Detecting Clustering and Switching in Verbal Fluency
In this work, we explore the fitness of various word/concept representations in analyzing an experimental verbal fluency dataset providing human responses to 10 different category enumeration tasks.
Situation-Specific Multimodal Feature Adaptation
In the next decade, we will see a considerable need for NLP models for situated settings where diversity of situations and also different modalities including eye-movements should be taken into account in order to grasp the intention of the user.
MOTIF: Contextualized Images for Complex Words to Improve Human Reading
In this respect, several traditional NLP approaches can assist L2 readers in text comprehension processes, such as simplifying text or giving dictionary descriptions for complex words.
Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models?
This paper delves into the formidable challenge of cross-domain generalization in multimodal hate meme detection, presenting compelling findings.
