Merging misidentified text structures in a document

A non-transitory computer-readable medium storing executable instructions, which when executed by a processing device, cause the processing device to perform operations comprising:

• receiving a document including a candidate text element and a target text element;
• classifying the candidate text element as a text element to be merged responsive to a merge likelihood satisfying a threshold, wherein the merge likelihood is based on a structure of the candidate text element and the target text element and a context of the candidate text element and the target text element;
• updating a tag associated with at least one of the candidate text element or the target text element;
• and
• obtaining a merged document using the updated tag.

A system comprising:

• a memory component;
• and
• a processing device coupled to the memory component, the processing device to perform operations comprising:
• receiving a document including a plurality of text elements;
• determining, by a machine learning model, a likelihood of merging a first text element of the plurality of text elements with a second text element of the plurality of text elements based on structure data and context data associated with the first and second text elements;
• determining whether the likelihood of merging the first text element with the second text element satisfies a threshold;
• and
• responsive to determining that the likelihood of merging the first text element with the second text element satisfies the threshold, merging the first text element with the second text element.