Table Representation Learning

Researchers work on topics related to representation learning and generative models for structured data, such as relational databases, linked tables, spreadsheets, as well as intersecting with knowledge graphs, code and unstructured data. Their research typically spans the disciplines of machine learning, natural language processing, data management, information retrieval, and human-computer interaction.

Table Representation Learning

Table Representation Learning

Researchers work on topics related to representation learning and generative models for structured data, such as relational databases, linked tables, spreadsheets, as well as intersecting with knowledge graphs, code and unstructured data. Their research typically spans the disciplines of machine learning, natural language processing, data management, information retrieval, and human-computer interaction.

Researchers

Michael Cochez
ELLIS Member
Madelon Hulsebos
ELLIS Member
Iacer Calixto
ELLIS Faculty
Andrew Yates
ELLIS Faculty

Ecosystem

IR Lab
IR Lab

Browse other research themes

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