Provided is a computer-implemented method for generating automatically annotations for tabular cell data of a table having column and rows, wherein the method includes: supplying raw cell data of cells of a row of the table as input to an embedding layer of a semantic type annotation neural network which transforms the received raw cell data of the cells of the supplied row into cell embedding vectors; processing the cell embedding vectors to calculate attentions among the cells of the respective row of the table encoding a context within the row output as cell context vectors; and processing the cell context vectors generated by the self-attention layer by a classification layer of the semantic type annotation neural network to predict semantic column type annotations and/or to predict relations between semantic column type annotations for the columns of the table.