Global ETD Search
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Showing 1 to 2 of 2 for “"Abstract Meaning Representation"”.
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Interpretable Multi-hop Question Answering
… a question decomposition approach based on abstract meaning representation (AMR) for multi-hop QA, which first transforms the task of decomposition of the multi-hop question into the task of segmentation of a corresponding AMR graph, and then decomposes a multi-hop question into simpler …
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Knowledge engineering for semantic understanding
This thesis addresses the challenges of improving semantic understanding in conversational agents by combining Knowledge Graphs (KGs) and Large Language Models (LLMs) within a flexible, multi-domain knowledge plugin architecture. We explore the inherent difficulties LLMs face in interpreting …