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HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
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Contextualizing Language Understanding with Graph-based Knowledge Representations ...
Chen, Sanxing. - : University of Virginia, 2020
Abstract: Language understanding requires not only linguistic knowledge but also relies on knowledge that is external to textual symbols. A vast amount of knowledge is stored in the form of graph-structured data in many application domains. Despite a growing interest in developing knowledge-driven approaches in the community, how to build powerful representations of graph-structured knowledge and effectively incorporate them into language understanding models remains a challenging problem in natural language processing research. This thesis explores the direction of contextualizing language understanding with graph-based knowledge representations. I first demonstrate the challenges of building meaningful interactions between language representations and domain-specific knowledge representations in the task of cross-domain Text-to-SQL semantic parsing. By citing this example, I point out the idea of fostering multiple connections between the two representations in their different levels of abstraction and utilize the ...
Keyword: knowledge graph representation; natural language processing; semantic parsing
URL: https://libraetd.lib.virginia.edu/public_view/xp68kg919
https://dx.doi.org/10.18130/v3-mhyd-et41
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A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing ...
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