Meaning Representation

Meaning representation focuses on creating computational models that capture the semantic meaning of text, images, or other data modalities, aiming to bridge the gap between human understanding and machine processing. Current research emphasizes developing robust and efficient methods for generating these representations, particularly using large language models and exploring various architectures like encoder-decoder models and graph-based approaches for cross-lingual transfer and compositional semantics. This work is significant for advancing natural language processing, improving machine understanding of complex information, and enabling applications such as cross-lingual question answering and semantic search.