| Challenge: | Recent developments in multimodal processing facilitate conceptual grounding of language. |
| Approach: | They analyze multimodal processing to examine the benefits and challenges of multimodal grounding . they focus on multimodal linguistic grounding of verbs which play a crucial role in compositional power of language. |
| Outcome: | The proposed methods improve the cognitive models of human information processing and address the challenges that arise. |
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Retrieving Multimodal Information for Augmented Generation: A Survey (2023.findings-emnlp)
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| Challenge: | This tutorial provides a historical overview of grounding and discusses its use in computational linguistics and in computational language processing. |
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Grounding Meaning Representation for Situated Reasoning (2022.aacl-tutorials)
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| Challenge: | a tutorial aims to build agents that understand language using a simulated environment . situated reasoning is a critical aspect of human language understanding . |
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| Challenge: | Cross-lingual alignment is the meaningful similarity of representations across languages in multilingual language models. |
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| Challenge: | Cognitive Science defines "grounding" as the process of establishing mutual information between two interlocutors. |
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| Challenge: | This tutorial provides an overview of cutting edge research on spatial and temporal language understanding. |
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Tutorial on Multimodal Machine Learning (2022.naacl-tutorials)
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| Challenge: | Multimodal machine learning is a challenging but crucial area with numerous applications in multimedia, affective computing, robotics, finance, HCI, and healthcare. |
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