Abstract: Methods and apparatuses are described in which unstructured computer text is analyzed for generation of customized digital documents. A server tokenizes and encodes historical user interactions and historical digital documents into multidimensional vectors. The server trains an interaction classification model using the multidimensional vectors as input to generate a classification for an input user interaction, and trains a language generation model using the multidimensional vectors as input to generate a customized digital document based upon an input user interaction. The server receives a new user interaction and encodes the new user interaction into a new multidimensional vector. The server executes the trained interaction classification model using the new vector as input to generate a digital document classification. The server executes the trained language generation model using the new vector and the classification as input to generate a customized digital document.

Abstract: Systems and methods for extracting data from electronic documents using optical character recognition (OCR) and non-OCR based text extraction. A server computing device initiates non-OCR based text extraction for each page of an electronic document. The server calculates a document text coverage percentage corresponding to the non-OCR based text extraction for the whole document and, in response to determining that the document text coverage percentage is below a first threshold, initiates OCR for the document. The server calculates a page text coverage percentage corresponding to the non-OCR based text extraction for one or more pages of the electronic document and, in response to determining that the page text coverage percentage is below a second threshold, initiates OCR for the pages. The server combines first text extracted from the electronic document using non-OCR based text extraction and second text extracted from the electronic document using OCR.

Abstract: Methods and apparatuses are described in which unstructured computer text is analyzed for generation of customized digital documents. A server tokenizes and encodes historical user interactions and historical digital documents into multidimensional vectors. The server trains an interaction classification model using the multidimensional vectors as input to generate a classification for an input user interaction, and trains a language generation model using the multidimensional vectors as input to generate a customized digital document based upon an input user interaction. The server receives a new user interaction and encodes the new user interaction into a new multidimensional vector. The server executes the trained interaction classification model using the new vector as input to generate a digital document classification. The server executes the trained language generation model using the new vector and the classification as input to generate a customized digital document.

Abstract: A method and an apparatus that performs tile-based rendering. The method includes receiving a first drawcall used for rendering a first tile of a preceding frame; receiving a second drawcall used for rendering a second tile of a succeeding frame corresponding to a position of the first tile; generating a signature of the first drawcall and a signature of the second drawcall; comparing the signature of the first drawcall to the signature of the second drawcall. Based on a result of the comparison of the signature of the first drawcall and the signature of the second drawcall, rendering the second tile by using a result of rendering the first tile when a pre-set condition is satisfied.

Abstract: A method and an apparatus that performs tile-based rendering. The method includes receiving a first drawcall used for rendering a first tile of a preceding frame; receiving a second drawcall used for rendering a second tile of a succeeding frame corresponding to a position of the first tile; generating a signature of the first drawcall and a signature of the second drawcall; comparing the signature of the first drawcall to the signature of the second drawcall. Based on a result of the comparison of the signature of the first drawcall and the signature of the second drawcall, rendering the second tile by using a result of rendering the first tile when a pre-set condition is satisfied.