METHOD AND SYSTEM FOR OBTAINING VECTOR PRESENTATIONS OF DATA IN TABLE TAKING INTO ACCOUNT STRUCTURE OF TABLE AND ITS CONTENT Russian patent published in 2025 - IPC G06F40/284 G06N3/04 

FIELD: data processing.

SUBSTANCE: group of inventions relates to data processing and can be used to obtain vector representations of data in a table based on the structure of the table and its content. Method comprises the following steps: obtaining data, which includes: text, table structure; table is defined as a set from a list of table header cells and a list of table body cells; each cell of the table body is marked with tags characterizing: a table identifier, a list of atomic columns to which the cell belongs, a list of atomic rows to which the cell belongs; data of each cell of table body is supplemented with information from corresponding cells of headers; performing the text in the table tokenisation; performing position coding at table rows level; forming vector representations of tokens for each token in table by aggregation of vector representations of tokens and positional vector representations; attention matrix is generated, using cell belonging to column or row of table; storing coordinates of boundaries of table cells in sequence of table tokens; the base model receives at the input prepared text and position vector representations of tokens and an attention matrix and processes them to obtain contextualized vector representations of tokens; using stored coordinates of boundaries of table cells, pooling is used to obtain a vector representation of a table cell.

EFFECT: faster process of training a language model when working with spreadsheet documents.

6 cl, 5 dwg